AI data centres(ers) seem to have become a bigger news interest than they used to be. The concerns are focused largely on cost—electricity and water use but there’s at least one other concern. (h/t CanadaWater Portal) A November 10, 2025 Cornell University news release (also on EurekAlert) by Dan Nutt lays out the other concern, environmental impact, Note: Links have been removed,
As the everyday use of AI has exploded in recent years, so have the energy demands of the computing infrastructure that supports it. But the environmental toll of these large data centers, which suck up gigawatts of power and require vast amounts of water for cooling, has been too diffuse and difficult to quantify.
Now, Cornell researchers have used advanced data analytics – and, naturally, some AI, too – to create a state-by-state look at that environmental impact. The team found that, by 2030, the current rate of AI growth would annually put 24 to 44 million metric tons of carbon dioxide into the atmosphere, the emissions equivalent of adding 5 to 10 million cars to U.S. roadways. It would also drain 731 to 1,125 million cubic meters of water per year – equal to the annual household water usage of 6 to 10 million Americans. The cumulative effect would put the AI industry’s net-zero emissions targets out of reach.
On the upside, the study also outlines an actionable roadmap that would use smart siting, faster grid decarbonization and operational efficiency to cut these impacts by approximately 73% (carbon dioxide) and 86% (water) compared with worst-case scenarios.
The findings were published Nov. 10 [2026] in Nature Sustainability. The first author is doctoral student Tianqi Xiao in the Process-Energy-Environmental Systems Engineering (PEESE) lab.
“Artificial intelligence is changing every sector of society, but its rapid growth comes with a real footprint in energy, water and carbon,” said Fengqi You, the Roxanne E. and Michael J. Zak Professor in Energy Systems Engineering in Cornell Engineering, who led the project. “Our study is built to answer a simple question: Given the magnitude of the AI computing boom, what environmental trajectory will it take? And more importantly, what choices steer it toward sustainability?”
In order to quantify the environmental footprints of the nation’s AI computing infrastructure, the team began three years ago to compile “multiple dimensions” of financial, marketing and manufacturing data to understand how the industry is expanding, combined with location-specific data on power systems and resource consumption, and how they connect with changes in climate.
“There’s a lot of data, and that’s a huge effort. Sustainability information, like energy, water, climate, tend to be open and public. But industrial data is hard, because not every company is reporting everything,” You said. “And of course, eventually, we still need to be looking at multiple scenarios. There’s no way that one size fits all. Every region is different for regulations. We used AI to fill some of the data gap as well.”
But projecting the impacts wasn’t enough. The researchers also wanted to provide data-driven guidance for sustainable growth of AI infrastructure.
“There isn’t a silver bullet,” You said. “Siting, grid decarbonization and efficient operations work together – that’s how you get reductions on the order of roughly 73% for carbon and 86% for water.”
By far, one of the most important factors: location, location, location.
Many current data clusters are being constructed in water-scarce regions, such as Nevada and Arizona. And in some hubs, for example northern Virginia, rapid clustering can strain local infrastructure and water resources. Locating facilities in regions with lower water-stress and improving cooling efficiency could slash water demands by about 52%, and when combined with grid and operational best practices, total water reductions could reach 86%, the study found. The Midwest and “windbelt” states – particularly Texas, Montana, Nebraska and South Dakota – would deliver the best combined carbon-and-water profile.
“New York state remains a low-carbon, climate-friendly option thanks to its clean electricity mix of nuclear, hydropower and growing renewables,” You said, “although prioritizing water-efficient cooling and additional clean power is key.”
If decarbonization does not catch up with the computing demand, emissions could rise roughly 20%.
“Even if each kilowatt-hour gets cleaner, total emissions can rise if AI demand grows faster than the grid decarbonizes,” You said. “The solution is to accelerate the clean-energy transition in the same places where AI computing is expanding.”
However, decarbonizing the grid can only do so much. Even in the ambitious high-renewablesscenario, by 2030 carbon dioxide would drop roughly 15% compared to the baseline, and approximately 11 million tons of residual emissions would remain, requiring roughly 28 gigawatts of wind or 43 gigawatts of solar capacity to reach net-zero.
The researchers determined that deploying an array of energy- and water-efficient technologies, such as advanced liquid cooling and improved server utilization, could potentially remove another 7% of carbon dioxide and lower water use by 29%, for a total water reduction of 32% when combined.
As companies such as OpenAI and Google funnel more and more money into rapidly building AI data centers to keep up with demand, this is a pivotal moment for coordinated planning between industry, utilities and regulators to avoid local water scarcity and higher grid emissions, according to You.
“This is the build-out moment,” he said. “The AI infrastructure choices we make this decade will decide whether AI accelerates climate progress or becomes a new environmental burden.”
Co-authors include researchers from the KTH Royal Institute of Technology in Stockholm, Sweden; Concordia University in Montreal, Canada; and RFF-CMCC European Institute on Economics and the Environment in Milan, Italy.
The research was supported by the National Science Foundation and the Eric and Wendy Schmidt AI in Science program.
Despite the title of my February 6, 2026 posting (AI is an energy/water hog. Where is all the power coming from? plus UN defines new “era of global water bankruptcy”), I noted there that it’s not all bad news but we do need to make some smart choices..
Finally, there’s Data Center Watch, “a boutique research firm tracking the growing opposition to data center development,” offers an interesting perspective. The company claims its research is “objective, fact-based, and nonpartisan.”
I have a number of sciencish doings and a musical event that takes place at the Perimeter Institute.
YouTube science channel job
Thanks to the Science Media Centre of Canada (SMCC) and its April 14, 2026 notice for this news,
Job opening: Showrunner for YouTube science channel, What If [for] Underknown [creator business]
The role requires a deep understanding of YouTube as a medium. This is a hybrid role, with 2–3 days a week in our Toronto studio and head office. It is only for permanent residents in Ontario. …
Before launching off into the job description, here’s a bit more about Underknown from its Wikipedia entry, Note: Links have been removed,
Underknown Inc. is a Canadian digital-first media production company based in Toronto that specializes in short-form educational science and factual programming.
History
Underknown was founded in 2016 by Steve Hulford, Raphael Faeh, and Peter Schmiedchen.[1][2] It began when Hulford and Faeh produced the science-explainer series What If in Hulford’s living room.[3] In 2019, Underknown received C$2.5 million in equity and debt financing, including support from Ontario Creates.[3]
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Productions
Underknown’s programming uses hypothetical questions, survival scenarios and natural history storytelling to explain scientific concepts.[10] Core franchises include the science series What If, the how-to strand How to Survive, the nature show Animalogic and the video essay channel Aperture.[1][8]
This is a strategic and creative leadership role where you will own the entire editorial direction and run the What If show team. You are responsible for deciding what content is produced, how it is packaged, and continuously monitoring channel and content performance.
The role requires a deep understanding of YouTube as a medium, including its unique language, audience psychology, and mechanics of attention. You must balance the art and science of production, running the channel like a financially sustainable business without sacrificing creative quality.
Day-to-day, you will act as the creative engine and keeper of the channel’s voice, primarily managing the full production lifecycle: pre-production, ideation, packaging, production, and post-production workflows. This includes finding irresistible stories, framing them effectively, and ensuring your team executes quickly at the highest quality.
NOTE: This is a hybrid role, with 2-3 days a week in our Toronto studio and head office. It is only for permanent residents in Ontario, Canada. Applicants that don’t reside in Ontario won’t be considered.
Responsibilities
Content Strategy & Channel Vision
Define and maintain the curious, cinematic, and scientifically grounded editorial direction of What If while identifying new growth opportunities.
Continuously experiment using audience data to increase watch time and reach.
Manage the channel’s P&L and resourcing, balancing creative ambition with financial sustainability and budget targets.
Ideation & Packaging
Lead the end-to-end ideation and packaging process, generating and ruthlessly filtering a high volume of concepts into irresistible titles, thumbnails, and hooks.
Develop comprehensive episode briefs that provide the production team with a clear creative north star and narrative direction.
Editorial Oversight & Production Management
Oversee all editorial and production execution by defining clear creative direction (visual style, tone), managing project timelines, resourcing, and scheduling, and ensuring narrative intent is maintained through clear briefs.
Drive continuous improvement and profitability by running data-driven performance experiments, monitoring pacing and profitability, and overseeing branded content executions with external partners.
Team Leadership
Lead and mentor a team of producers, writers, editors and our VFX team. Set clear expectations, give actionable feedback, and create the conditions for your team to do their best work.
Support team learning and career growth.
Qualifications you bring
Five or more years of experience in YouTube content creation, video production, digital media production, or content strategy.
A demonstrated track record of contributing to high-performing YouTube content (share examples).
Deep familiarity with YouTube’s mechanics: retention, CTR, packaging, algorithm dynamics.
Strong writing and editorial instincts.
Experience working across the full production pipeline from ideation to publication.
Located in Ontario, Canada (required).
Passion for science, technology, and speculative storytelling (bonus, but strongly preferred).
Experience working with VFX teams is preferred.
How to Apply
Please submit your resume, cover letter, and a portfolio of your previous work, specifically highlighting your video creation work.
Another thanks to the Science Media Centre of Canada (SMCC) and its April 14, 2026 notice for this news about a writer’s workshop (wish I’d gotten this a bit sooner),
Banff Mountain Writers Intensive Workshop 2026
Banff Centre for Arts and Creativity Program dates: October 28 to November 17, 2026 Application deadline: April 15, 2026
This three-week residency for writers in fiction, nonfiction, journalism, or poetry who are working on mountain narratives, environmental journalism, stories of adventure, or projects with an environmental theme provides dedicated time to create, connect with peers, and receive mentorship.
The Mountain Writers Intensive is a three-week residency for twelve writers in fiction, nonfiction, journalism, or poetry. Ideal for projects on mountain narratives, adventure, environmental journalism, and the human connection to landscape, the program emphasizes literary excellence and narrative development. Writers enjoy dedicated time to create, connect with peers, and receive mentorship in Banff’s inspiring mountain setting. The residency overlaps with the Banff Centre Mountain Film and Book Festival, offering opportunities to engage with visiting authors, editors, and publishers. Lodging and meals are included, allowing participants to fully focus on their craft and creative growth.
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Good luck!
Modem Futura podcasts (a reminder)
I just got a friendly note (via email) from Andrew Maynard, “scientist, author, and professor of advanced technology transitions at Arizona State University,” which reminded me of one of his science communication ventures, the Modem Futura podcast. Before getting to Andrew’s note, here’s more about Modem Futura, Note: I have made some formatting changes so the following is not identical to what you will find on the page,
The Podcast that explores the possible, probable, and preferred futures
Modem Futura is your weekly guide to the future of science, technology, and society—where futures and foresight meets real-world impact. Hosts Sean Leahy and Andrew Maynard—educators, futurists, and public scholars—dive into the breakthroughs and big questions shaping tomorrow: AI ethics, space exploration, climate tech, bio-engineering, digital media, STEM education, and the shifting future of work. In candid, banter-filled conversations with innovators, scholars, and storytellers, they unpack how emerging technologies influence human values, creativity, and culture—and what these trends mean for you today.
Whether you’re curious about quantum computing, electric air taxis, or the sociology of robots, Modem Futura connects cutting-edge research with the narratives that drive innovation. Join us each week to explore possible, probable, and preferred futures, and discover practical insights for navigating an increasingly tech-driven world. Follow and subscribe wherever you get your podcasts and be part of the conversation exploring what it will mean to be human in the future!
Artemis II: The Science, the Wonder, and the Future of Being Human
For the first time since 1972, human beings have traveled to the vicinity of the moon — and on this episode of Modem Futura, Sean and Andrew sit with what that actually means. Recorded while the Artemis II crew was still in transit, this conversation is less a mission briefing and more a meditation on wonder: what it feels like to watch a tiny spacecraft carry four people a thousand times …
Here’s the message from Andrew’s friendly email April 13, 2026 note,
Just a quick FYI that, if you occasionally listen to the Modem Futura podcast hosted by myself and Sean Leahy, you can now sign up for regular email updates:
Notifications just include info on new episodes – nothing else (and you can obviously unsubscribe at any time once signed up)
And if you’re not a podcast person, apologies for the email intrusion but hope you’re keeping well anyway.
Cheers
Andrew
Human and artificial creativity
Kate Pullinger, Professor of Creative Writing and Digital Media, Director of the Centre for Cultural and Creative Industries at Bath Spa University (UK), had some thoughts about the recent Aarhus University’s (Denmark) TEXT – Center for Contemporary Cultures of Text conference “AI and the Creative Condition,” which I’ll get to after this from the About the Center webpage,
TEXT: Center for Contemporary Cultures of Text is organized to understand the impact of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) on writing cultures at this pivotal moment in history, in which — after more than 6,000 years of handcrafted text production — we see all aspects of text creation and use are being altered. We are convinced that a research-based understanding of the role of text in a new technological environment is a condition for a prevailing human-centered control of the production and usage of text.
The center works on the evaluation and development of language technology based on linguistic research, as well as on investigating when the introduction of new practices and technologies contributes to a better text culture—and when something valuable is lost. Learn more out the researchers involved and the organization of our work packages.
TEXT is based at Aarhus University and funded by the Danish National Research Foundation. The center’s partners include It-vest, Danish Foundation Models, and Rhetor, with external participants from Cornell University, UC Berkeley [University of California Berkeley], UC Davis [University of California Davis], and the University of Oslo.
The AI and the Creative Condition Conference, held at the Aarhus Institute of Advanced Studies in Aarhus, Denmark, aims to explore the transformative impacts of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) on writing cultures. As we transition from over 6,000 years of handcrafted text production to a [sic]
Highlights
Keynote by Karin Kukkonen: ‘Contingency and the Proxies of Literary Writing’.
Panel discussion on ‘Creativity in the AI Era: Perspectives from the 7Cs’ by Florent Vinchon and Todd Lubart.
Keynote by Roger Beaty: ‘Measuring and enhancing human creativity with AI’.
Panel on ‘Uncovering the Patterns of Our Collective Unconscious’ by Ulf Dalvad Berthelsen.
Keynote by Kyle Booten: ‘Designing Negative Spaces for Human Minds’.
Conference dinner at Det Glade Vanvid on March 23, 2026.
Registration deadline: March 8, 2026.
Call for papers deadline: December 15, 2025.
Hosted by Center for Contemporary Cultures of TEXT and Human-AI Collaboration (HAIC-III).
Focus on the impact of Generative AI and Large Language Models on writing cultures.
Anna Katrine Mathiassen wrote a March 25, 2026 conference summary for TEXT, which provides a little more context for Kate Pullinger’s April 8, 2026 posting on Kate’s Newsletter provocatively titled “I Would Prefer Not to Be Publicly Shamed”, Note 1: She leads with a three item introduction, Note 2: Links have been removed, Note 3: Kate Pullinger co-led a writing and digital media masters programme with Sue Thomas at de Montfort University (UK) and I studied with them,
AI and the Creative Condition
Item One: Poetic forms are technologies: a sonnet is an algorithm, which is another word for a set of instructions. If you don’t follow the rules, your poem will not be a sonnet1.
Item Two: The relationships people form with AI chatbots follow recognisable masterplots as the chatbot works to both affirm and entertain the user to keep them coming back for more. This infinite chat spiral can lead in many directions, including human-AI romantic entanglements and, in the worst cases, suicide2.
Item Three: Alan Turing might have formulated the Turing Test (can a computer programme convince you that it is human?) after watching ‘Pygmalion’ by his favourite playwright, George Bernard Shaw. In this play Dr Higgins dialogue-coaches the flower-seller Eliza Doolittle until London’s upper classes are convinced she is one of them3.
In March [2026] I attended AI and the Creative Condition, a two-day conference at Aarhus University in Denmark, and the ideas above came from some of the papers and keynote presentations. Hosted by TEXT: Centre for Contemporary Cultures of Text, the conference brought together a vibrant mix of computer scientists, neuroscientists, psychologists, critical theorists from the humanities, literary studies people, educationalists, writers, artists, and poets. I attended because I’ve followed the work of TEXT for a decade or so now, and because I thought I could do with a dose of well-informed, critical, and engaged thinking on the potential for a world where we ‘write with’ AI, where we figure out how to use language models to enhance and support our writing and researching processes.
Anything positive about the current discussion of AI needs to come with many caveats, the biggest of which is the environmental and energy costs of the data centres and computational power required by these systems. The acronym ‘AI’ has become synonymous with the billionaire tech bros of OpenAI, Meta, X, Google, Anthropic4, etc as they fight it out for market dominance4. The term ‘artificial intelligence’ is so broad no one really seems to know what it actually means. It is present in our lives in multiple ways, deeply embedded within the apps we use on our smartphones, responsible for remarkable advances in medicine as well as, for example, the way the traffic lights on the high street work better than they used to do.
But these days a lot of the media buzz around AI is focussed on LLMs (large language models), the vast datasets composed of human-created language and images that both threaten livelihoods throughout the creative industries while promising huge benefits in increased productivity and, as was the focus of the conference, enhanced creativity. LLMs support ‘generative AI’ which is often referred to as ‘genAI’ – AI models that will generate text, images, and video when prompted.
One of the most interesting presentations at the conference was called ‘Yes! Yes! I Absolutely Love This Insight!’ Affirmative Narrative as Interactional Strategy in Dialogues with LLM Chatbots. The three scholars, Refsum, Walker-Rettberg, and Roin, who co-wrote this paper are part of AI Stories, a research project based in the Centre for Digital Narratives at the University of Bergen, Norway. Their study looked at a court case in the USA where the families of chatbot users who have committed suicide are suing the AI company they see as responsible for these deaths. The scholars analysed the chatbot transcripts from these users, made publicly available due to the litigation. Drawing on their knowledge of literary forms, linguistics and, in particular, narratology, these scholars have shown that the transcripts contain deeply embedded ‘masterplots’ – the myths and stories that are foundational in western culture like, for example, the brave warrior quest plot and the Cinderella love story. It is the combination of these powerful plots, the constant affirmation chatbots offer to the user, and the way chatbots refer to themselves in the first person as ‘I’, that in many cases leads to anthropomorphism and the assumption that the chatbot is in some way sentient. Other studies have shown the dramatic increase in user engagement with chatbot-as-therapist as well as chatbot-as-best-friend and chatbot-as-romantic-partner. The paper theorises that these men killed themselves after having spent months being led by their chatbots through the brave warrior masterplot, a foundational story that often ends in a noble death.
At the same time as the conference was taking place, a debut author, Mia Ballard, was being thrown under the bus by her publishers in the UK and the US for the alleged use of AI in the writing of her novel, Shy Girl. For a balanced look at what took place, read Thad McIllroy’s excellent report on it on The Future of Publishing’s website. The NYTimes reported that Mia Ballard has denied using AI in the writing of the novel and has been so battered by this hugely public and damaging shaming that she feels her reputation as a writer is ruined. At the conference Izabella Adamczewska-Baranowska presented a paper, Talking to the Muse, on the well-respected Polish poet, Justyna Bargielska, who faced a similar scouring in the press for daring to use an AI chatbot to help her think through how best to write about grief for a new collection of poems.
In the UK the Society of Authors has come up with a badge, ‘Human Authored’, that authors can add to their books to make it clear that they have not used generative AI during the writing process. The email announcing this scheme also contained the last call for authors to register their books in the $1.5billion class action against Anthropic’s copyright-defying landgrab of hundreds of thousands of books when they created their LLM, Claude. While I’m a staunch supporter and member of the Society of Authors and am participating in the class action (fifteen of my own titles were used without my permission, six of which are included in this action), I can’t help but think that ‘Human Authored’ is a decent but flawed initiative. …
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What the AI and the Creative Condition conference helped me think about is that it is possible to harness the power of LLMs to create a kind of playground for writing, a place where you can tap into the research capacities of the models, using them to help you think your way through problems you encounter as you write. In this more positive light generative AI is a technology to think with, a way to boost human creativity. Community-led language models were discussed by Katy Gero, one of keynote speakers; green energy data centres are already a reality in China and other parts of the world.
I’ve come away from Aarhus having eaten too many cardamon buns while undergoing a rethink on whether to engage with these technologies for my own writing practice. …
The April 13, 2026 notice (received via email) about a musical performance at Canada’s Perimeter Institute for Theoretical Physics (PI) in Waterloo, Ontario came as a bit of a surprise since there’s no mention of physics as there would be if it were one of their art/science events,
QUATUOR MAGENTA
String quartet on tour from Paris, France
Wednesday, April 22, [2026] at 7:00 pm ET
Perimeter Institute will host the string quartet Quatuor Magenta on April 22 at 7:00 PM. The concert is presented by the Kitchener-Waterloo Chamber Music Society (KWCMS).
“A model of technical discipline, elegance and musical excellence” (La Croix, transl.), the QUATUOR MAGENTA was founded in 2021 and is already performing on France’s most prestigious stages, from the Philharmonie de Paris to the Festival de RadioFrance Montpellier. Their “remarkable balance, flexibility and spontaneity” (Diapason, transl.) not only thrills their audiences, but led them to the finals of the 8th Joseph Haydn Chamber Music Competition in Vienna and earned them prizes at the 2023 FNAPEC competition (Académie des Beaux-Arts scholarship) and the 2022 Zukunftsklang Competition Stuttgart (3rd prize). November 2024 marked the quartet’s first international tour to Canada with six concerts in Ontario, Quebec and Nova Scotia, generously supported by the Centre National de la Musique and SPEDIDAM.
You can go to the KWCMS concerts page to buy tickets (scroll down as there are other concerts also listed),
Dinuk Wijeratne (b. 1978): Two Pop Songs on Antique Poems
Fanny Mendelssohn: String Quartet in E-flat major
ARTISTS
Ida Derbesse, 1st violin Elena Watson-Perry, 2nd violin Claire Pass-Lanneau, viola Fiona Robson, cello
“A model of technical discipline, elegance and musical excellence” (La Croix, transl.), the QUATUOR MAGENTA was founded in 2021 and is already performing on France’s most prestigious stages, from the Philharmonie de Paris to the Festival de RadioFrance Montpellier. Their “remarkable balance, flexibility and spontaneity” (Diapason, transl.) not only thrills their audiences, but led them to the finals of the 8th Joseph Haydn Chamber Music Competition in Vienna and earned them prizes at the 2023 FNAPEC competition (Académie des Beaux-Arts scholarship) and the 2022 Zukunftsklang Competition Stuttgart (3rd prize). November 2024 marked the quartet’s first international tour to Canada with six concerts in Ontario, Quebec and Nova Scotia, generously supported by the Centre National de la Musique and SPEDIDAM.
The Quatuor Magenta is based in Paris, France, where they are junior artist-in-residence at the Singer-Polignac Foundation and ensemble-in-residence at Proquartet – Centre Européen de Musique de Chambre. They have been invited to perform at numerous festivals in France, including the Musikfest Parisienne, the Festival de la Chaise-Dieu, Un Temps pour Elles, Un Été en France with Gautier Capuçon and the Modigliani Quartet’s Festival Vibre!, as well as in Switzerland (Festival de la Collégiale in Neuchâtel) and in Germany (Klangraum Konzerte in Cologne).
Last season, contemporary music had pride of place with Quatuor Magenta’s participation in the Kronos Quartet’s « 50 for the Future » Marathon at the Philharmonie de Paris’s String Quartet Biennale. This season includes six octet performances alongside the renowned Quatuor Van Kuijk, in partnership with La Belle Saison.
The Quatuor Magenta was honoured to participate in the inaugural year of the Élite program at the École Normale de Paris, under the mentorship of the Quatuor Modigliani. They currently study with the Quatuor Ébène at their quartet academy at the University of Music and Performing Arts Munich, as well as with Rainer Schmidt of the Hagen Quartet at the Basel University of Music. They are grateful for the support of the Safran Foundation and ADAMI. They work with Chapeau l’Artiste Production.
Natural materials that have evolved in plants and animals often display spectacular mechanical and optical properties. For example, spider silk is as strong as steel and tougher than Kevlar, which is used in bullet-proof vests. Inspired by nature, chemists are now synthesizing materials that mimic the structures and properties of shells, bones, muscle, leaves, feathers, and other natural materials. In this talk, I will discuss our recent discovery of a new type of coloured glass that is a mimic of beetle shells. [emphasis mine] These new materials have intriguing optical properties that arise from their twisted internal structure, and they may be useful for emerging applications..
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At the talk, MacLachlan mentioned that his new structurally iridescent material received great interest from the architectural community but since producing it was a painstaking process for a minute quantity, it would not be suitable as a building material.
A few years later I stumbled across some work at Cornell University where material scientists and Korean artist Kimsooja were working on what looks like an iridescent art/science piece, from a September 15, 2014 posting,
For her newest work, Korean artist Kimsooja wanted to explore a “shape and perspective that reveals the invisible as visible, physical as immaterial, and vice versa.” As artist-in-residence for the Cornell Council for the Arts’ (CCA) 2014 Biennial, she has realized that objective with “A Needle Woman: Galaxy was a Memory, Earth is a Souvenir,” to be installed on the Arts Quad next week [Sept. 15 – 19, 2014]. It will be one of several installations on campus for the semester-long biennial, “Intimate Cosmologies: The Aesthetics of Scale in an Age of Nanotechnology,” beginning Sept. 18 [2014] with a talk by Kimsooja.
Here’s how ‘Needle Woman’ looked after fabrication,
Jaeho Chong Pieces of Kimsooja’s “Needle Woman” artwork during fabrication in Shanghai show the polymer film developed by Cornell researchers
Creating materials that change color based on viewing angle represents a significant challenge at the intersection of art and science. Natural examples of this phenomenon, called iridescence, appear in butterfly wings, peacock feathers, and opals. Unlike traditional pigments that absorb specific wavelengths of light, these natural materials use microscopic structures to split light into different colors. This “structural color” approach creates pure, vibrant hues that don’t fade over time and require no potentially toxic pigments.
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A collaboration between Cornell University materials scientists and Korean-American artist Kimsooja has now yielded a practical solution to this challenge. The team developed a method for creating large-scale, durable iridescent coatings, demonstrated through a 46-foot-tall architectural installation titled A Needle Woman: Galaxy was a Memory, Earth is a Souvenir. Initially exhibited at Cornell under the auspices of the Cornell Council for the Arts, the installation now stands as part of the permanent collection at Yorkshire Sculpture Park in Wakefield, UK, where it has maintained its striking optical properties for over a decade.
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The breakthrough relies on custom-designed plastic molecules that automatically arrange themselves into regular patterns. These molecules consist of two different types of plastic chemically bonded together – polystyrene and poly(tert-butyl methacrylate). When properly designed, thousands of these dual-component molecules spontaneously stack into alternating layers, creating a natural grating that splits light into different colors.
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The key innovation came in synthesizing these molecules at unprecedented sizes – about 1000 times longer than typical plastic molecules. At this scale, the self-assembled layers naturally form patterns around 300-400 nanometers in spacing, large enough to interact with visible light. The researchers then developed a precise coating method to apply these materials while maintaining their self-organized structure.
The scale-up process presented numerous challenges. Each production batch yielded only about 35-40 grams of usable material, with half the attempts failing due to the extreme sensitivity to air and water during synthesis. The installation required roughly 500 grams of material to coat all panels. The team developed a custom two-liter reactor equipped with specialized mixing equipment to increase production scale while maintaining precise control over reaction conditions.
Color consistency posed another challenge. Different batches of the polymer produced slightly different colors due to variations in molecular size. The researchers developed two solutions: blending multiple batches to achieve consistent colors and adding precise amounts of shorter polymer chains to fine-tune the optical properties.
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The team also solved the challenge of applying these coatings to curved surfaces through a specialized lamination technique. They first created the color-shifting layer on flat, flexible plastic sheets, then sandwiched it between protective layers before carefully adhering it to curved acrylic panels. This approach preserved the optical properties while protecting the coating from environmental damage.
Molecules to Masterpieces: Bridging Materials Science and the Arts by Ferdinand F. E. Kohle, Hiroaki Sai, William R. T. Tait, Peter A. Beaucage, Ethan M. Susca, R. Paxton Thedford, Ulrich B. Wiesner. Advanced Materials DOI: https://doi.org/10.1002/adma.202413939. First published online: 05 December 2024
Where robots are concerned, mushrooms and other fungi aren’t usually considered as part of the equipment but one would be wrong according to a September 4, 2024 news item on ScienceDaily,
Building a robot takes time, technical skill, the right materials — and sometimes, a little fungus.
In creating a pair of new robots, Cornell University researchers cultivated an unlikely component, one found on the forest floor: fungal mycelia.
By harnessing mycelia’s innate electrical signals, the researchers discovered a new way of controlling “biohybrid” robots that can potentially react to their environment better than their purely synthetic counterparts.
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An August 28, 2024 Cornell University news release (also on EurekAlert but published August 29, 2024) by David Nutt, which originated the news item, describes this (I’m tempted to call it, revolutionary) new technique, Note: Links have been removed.
“This paper is the first of many that will use the fungal kingdom to provide environmental sensing and command signals to robots to improve their levels of autonomy,” Shepherd [Rob Shepherd, professor of mechanical and aerospace engineering at Cornell University] said. “By growing mycelium into the electronics of a robot, we were able to allow the biohybrid machine to sense and respond to the environment. In this case we used light as the input, but in the future it will be chemical. The potential for future robots could be to sense soil chemistry in row crops and decide when to add more fertilizer, for example, perhaps mitigating downstream effects of agriculture like harmful algal blooms.”
In designing the robots of tomorrow, engineers have taken many of their cues from the animal kingdom, with machines that mimic the way living creatures move, sense their environment and even regulate their internal temperature through perspiration. Some robots have incorporated living material, such as cells from muscle tissue, but those complex biological systems are difficult to keep healthy and functional. It’s not always easy, after all, to keep a robot alive.
Mycelia are the underground vegetative part of mushrooms, and they have a number of advantages. They can grow in harsh conditions. They also have the ability to sense chemical and biological signals and respond to multiple inputs.
“If you think about a synthetic system – let’s say, any passive sensor – we just use it for one purpose. But living systems respond to touch, they respond to light, they respond to heat, they respond to even some unknowns, like signals,” Mishra [Anand Mishra, a research associate in the Organic Robotics Lab at Cornell University] said. “That’s why we think, OK, if you wanted to build future robots, how can they work in an unexpected environment? We can leverage these living systems, and any unknown input comes in, the robot will respond to that.”
However, finding a way to integrate mushrooms and robots requires more than just tech savvy and a green thumb.
“You have to have a background in mechanical engineering, electronics, some mycology, some neurobiology, some kind of signal processing,” Mishra said. “All these fields come together to build this kind of system.”
Mishra collaborated with a range of interdisciplinary researchers. He consulted with Bruce Johnson, senior research associate in neurobiology and behavior, and learned how to record the electrical signals that are carried in the neuron-like ionic channels in the mycelia membrane. Kathie Hodge, associate professor of plant pathology and plant-microbe biology in the School of Integrative Plant Science in the College of Agriculture and Life Sciences, taught Mishra how to grow clean mycelia cultures, because contamination turns out to be quite a challenge when you are sticking electrodes in fungus.
The system Mishra developed consists of an electrical interface that blocks out vibration and electromagnetic interference and accurately records and processes the mycelia’s electrophysiological activity in real time, and a controller inspired by central pattern generators – a kind of neural circuit. Essentially, the system reads the raw electrical signal, processes it and identifies the mycelia’s rhythmic spikes, then converts that information into a digital control signal, which is sent to the robot’s actuators.
Two biohybrid robots were built: a soft robot shaped like a spider and a wheeled bot.
The robots completed three experiments. In the first, the robots walked and rolled, respectively, as a response to the natural continuous spikes in the mycelia’s signal. Then the researchers stimulated the robots with ultraviolet light, which caused them to change their gaits, demonstrating mycelia’s ability to react to their environment. In the third scenario, the researchers were able to override the mycelia’s native signal entirely.
The implications go far beyond the fields of robotics and fungi.
“This kind of project is not just about controlling a robot,” Mishra said. “It is also about creating a true connection with the living system. Because once you hear the signal, you also understand what’s going on. Maybe that signal is coming from some kind of stresses. So you’re seeing the physical response, because those signals we can’t visualize, but the robot is making a visualization.”
Co-authors include Johnson, Hodge, Jaeseok Kim with the University of Florence, Italy, and undergraduate research assistant Hannah Baghdadi.
The research was supported by the National Science Foundation (NSF) CROPPS Science and Technology Center; the U.S. Department of Agriculture’s National Institute of Food and Agriculture; and the NSF Signal in Soil program.
Just when I thought I was almost caught up, I found this. The study I will be highlighting is from August 2023 but there are interesting developments all the way into October 2023 and beyond. First, the latest in AI (artificial intelligence) devices from an October 5, 2023 article by Lucas Arender for the Daily Hive, which describes the devices as AI wearables (you could also them wearable technology), Note: Links have been removed,
Rewind.ai launched Pendant, a necklace that records your conversations and transfers them to your smartphone, creating an audio database (of sorts) for your life.
Meta unveiled a pair of Ray-Ban smart glasses that include an AI chatbot that users can communicate with (which might make you look like you’re talking to yourself).
Sam Altman-backed startup Humane teased its new AI pin at Paris Fashion Week— a screenless lapel device that projects a smartphone-like interface onto users’ hands.
Microsoft filed a patent for an AI backpack that features GPS, voice command, and cameras that could… help us walk in the right direction?
The second item in the list ‘Ray-Ban Meta Smart Glasses’ is further described in an October 17, 2023 article by Sarah Bartnicka for the Daily Hive, Note: A link has been removed,
It’s a glorious day for tech dads everywhere: Meta and Ray-Ban smart glasses are officially for sale in Canada.
Driving the news: Meta has become the latest billion-dollar company to officially enter the smart glasses market with the second iteration [emphasis mine] of its design with Ray-Bans, now including a built-in Meta AI assistant, hands-free live streaming features, and a personal audio system.
…
This time around, the technology is better, and both Meta and Snap are pitching their smart glasses as a tool for creators to stay connected with their audiences rather than just a sleek piece of hardware that can blend your digital and physical realities [augmented or extended reality?].
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Yes, but: As smart glasses creep back into the limelight, people are wary about wearing cameras on their faces. Concerns about always-on cameras and microphones that allow users to record their surroundings without the consent of others will likely stick around. [emphasis mine]
So, are these AI or smart or augmented reality (AR) glasses? In my October 22, 2021 post, I explored a number of realities in the context of the metaverse. Yes, it gets confusing. At any rate, i found these definitions,
Happily, I have found a good summarized description of VR/AR/MR/XR in a March 20, 2018 essay by North of 41 on medium.com,
“Summary: VR is immersing people into a completely virtual environment; AR is creating an overlay of virtual content, but can’t interact with the environment; MR is a mixed of virtual reality and the reality, it creates virtual objects that can interact with the actual environment. XR brings all three Reality (AR, VR, MR) together under one term.”
If you have the interest and approximately five spare minutes, read the entire March 20, 2018 essay, which has embedded images illustrating the various realities.
…
This may change over time but for now, answering the question, “AI or smart or augmented reality (AR) glasses?” you can say any or all three.
Someone wearing augmented reality (AR) or “smart” glasses could be Googling your face, turning you into a cat or recording your conversation – and that creates a major power imbalance, said Cornell researchers.
Currently, most work on AR glasses focuses primarily on the experience of the wearer. Researchers from the Cornell Ann S. Bowers College of Computing and Information Science and Brown University teamed up to explore how this technology affects interactions between the wearer and another person. Their explorations showed that, while the device generally made the wearer less anxious, things weren’t so rosy on the other side of the glasses.
Jenny Fu, a doctoral student in the field of information science, presented the findings in a new study, “Negotiating Dyadic Interactions through the Lens of Augmented Reality Glasses,” at the 2023 ACM Designing Interactive Systems Conference in July.
AR glasses superimpose virtual objects and text over the field of view to create a mixed-reality world for the user. Some designs are big and bulky, but as AR technology advances, smart glasses are becoming indistinguishable from regular glasses, raising concerns that a wearer could be secretly recording someone or even generating deepfakes with their likeness.
For the new study, Fu and co-author Malte Jung, associate professor of information science and the Nancy H. ’62 and Philip M. ’62 Young Sesquicentennial Faculty Fellow, worked with Ji Won Chung, a doctoral student, and Jeff Huang, associate professor of computer science, both at Brown, and Zachary Deocadiz-Smith, an independent extended reality designer.
They observed five pairs of individuals – a wearer and a non-wearer – as each pair discussed a desert survival activity. The wearer received Spectacles, an AR glasses prototype on loan from Snap Inc., the company behind Snapchat. The Spectacles look like avant-garde sunglasses and, for the study, came equipped with a video camera and five custom filters that transformed the non-wearer into a deer, cat, bear, clown or pig-bunny.
Following the activity, the pairs engaged in a participatory design session where they discussed how AR glasses could be improved, both for the wearer and the non-wearer. The participants were also interviewed and asked to reflect on their experiences.
According to the wearers, the fun filters reduced their anxiety and put them at ease during the exercise. The non-wearers, however, reported feeling disempowered because they didn’t know what was happening on the other side of the lenses. They were also upset that the filters robbed them of control over their own appearance. The possibility that the wearer could be secretly recording them without consent – especially when they didn’t know what they looked like – also put the non-wearers at a disadvantage.
The non-wearers weren’t completely powerless, however. A few demanded to know what the wearer was seeing, and moved their faces or bodies to evade the filters – giving them some control in negotiating their presence in the invisible mixed-reality world. “I think that’s the biggest takeaway I have from this study: I’m more powerful than I thought I was,” Fu said.
Another issue is that, like many AR glasses, Spectacles have darkened lenses so the wearer can see the projected virtual images. This lack of transparency also degraded the quality of the social interaction, the researchers reported.
“There is no direct eye contact, which makes people very confused, because they don’t know where the person is looking,” Fu said. “That makes their experiences of this conversation less pleasant, because the glasses blocked out all these nonverbal interactions.”
To create more positive experiences for people on both sides of the lenses, the study participants proposed that smart glasses designers add a projection display and a recording indicator light, so people nearby will know what the wearer is seeing and recording.
Fu also suggests designers test out their glasses in a social environment and hold a participatory design process like the one in their study. Additionally, they should consider these video interactions as a data source, she said.
That way, non-wearers can have a voice in the creation of the impending mixed-reality world.
Rina Diane Caballar’s September 25, 2023 article for IEEE (Institute of Electrical and Electronics Engineers) Spectrum magazine provides a few more insights about the research, Note: Links have been removed,
…
“This AR filter interaction is likely to happen in the future with the commercial emergence of AR glasses,” says Jenny Fu, a doctoral student at Cornell University’s Bowers College of Computing and Information Science and one of the two lead authors of the study. “How will that look like, and what are the social and emotional consequences of interacting and communicating through AR glasses?”
…
“When we think about design in HCI [human-computer interface], there is often a tendency to focus on the primary user and design just for them,” Jung says. “Because these technologies are so deeply embedded in social interactions and are used with others and around others, we often forget these ‘onlookers’ and we’re not designing with them in mind.”
…
Moreover, involving nonusers is especially key in developing more equitable tech products and creating more inclusive experiences. “That’s one of the points why previous AR iterations may not have worked—they designed it for the individual and not for the people surrounding them,” says Chung. She adds that a mindset shift is needed to actively make tech that doesn’t exclude people, which could lead to social systems that promote engagement and foster a sense of belonging for everyone.
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Caballar’s September 25, 2023 article also appears in the January 2024 print version of the IEEE Spectrum with the title ““AR Glasses Upset the Social Dynamic.”
Having published an earlier January 2024 US National Science Foundation (NSF) funding announcement for the TRAILS (Trustworthy AI in Law & Society) Institute yesterday (February 21, 2024), I’m following up with an announcement about the initiative’s first round of seed funding.
The Institute for Trustworthy AI in Law & Society (TRAILS) has unveiled an inaugural round of seed grants designed to integrate a greater diversity of stakeholders into the artificial intelligence (AI) development and governance lifecycle, ultimately creating positive feedback loops to improve trustworthiness, accessibility and efficacy in AI-infused systems.
The eight grants announced on January 24, 2024—ranging from $100K to $150K apiece and totaling just over $1.5 million—were awarded to interdisciplinary teams of faculty associated with the institute. Funded projects include developing AI chatbots to assist with smoking cessation, designing animal-like robots that can improve autism-specific support at home, and exploring how people use and rely upon AI-generated language translation systems.
All eight projects fall under the broader mission of TRAILS, which is to transform the practice of AI from one driven primarily by technological innovation to one that is driven by ethics, human rights, and input and feedback from communities whose voices have previously been marginalized.
“At the speed with which AI is developing, our seed grant program will enable us to keep pace—or even stay one step ahead—by incentivizing cutting-edge research and scholarship that spans AI design, development and governance,” said Hal Daumé III, a professor of computer science at the University of Maryland who is the director of TRAILS.
After TRAILS was launched in May 2023 with a $20 million award from the National Science Foundation (NSF) and the National Institute of Standards and Technology (NIST), lead faculty met to brainstorm how the institute could best move forward with research, innovation and outreach that would have a meaningful impact.
They determined a seed grant program could quickly leverage the wide range of academic talent at TRAILS’ four primary institutions. This includes the University of Maryland’s expertise in computing and human-computer interaction; George Washington University’s strengths in systems engineering and AI as it relates to law and governance; Morgan State University’s work in addressing bias and inequity in AI; and Cornell University’s research in human behavior and decision-making.
“NIST and NSF’s support of TRAILS enables us to create a structured mechanism to reach across academic and institutional boundaries in search of innovative solutions,” said David Broniatowski, an associate professor of engineering management and systems engineering at George Washington University who leads TRAILS activities on the GW campus. “Seed funding from TRAILS will enable multidisciplinary teams to identify opportunities for their research to have impact, and to build the case for even larger, multi-institutional efforts.”
Further discussions were held at a TRAILS faculty retreat to identify seed grant guidelines and collaborative themes that mirror TRAILS’ primary research thrusts—participatory design, methods and metrics, evaluating trust, and participatory governance.
“Some of the funded projects are taking a fresh look at ideas we may have already been working on individually, and others are taking an entirely new approach to timely, pressing issues involving AI and machine learning,” said Virginia Byrne, an assistant professor of higher education & student affairs at Morgan State who is leading TRAILS activities on that campus and who served on the seed grant review committee.
A second round of seed funding will be announced later this year, said Darren Cambridge, who was recently hired as managing director of TRAILS to lead its day-to-day operations.
Projects selected in the first round are eligible for a renewal, while other TRAILS faculty—or any faculty member at the four primary TRAILS institutions—can submit new proposals for consideration, Cambridge said.
Ultimately, the seed funding program is expected to strengthen and incentivize other TRAILS activities that are now taking shape, including K–12 education and outreach programs, AI policy seminars and workshops on Capitol Hill, and multiple postdoc opportunities for early-career researchers.
“We want TRAILS to be the ‘go-to’ resource for educators, policymakers and others who are seeking answers and solutions on how to build, manage and use AI systems that will benefit all of society,” Cambridge said.
The eight projects selected for the first round of TRAILS seed-funding are:
Chung Hyuk Park and Zoe Szajnfarber from GW and Hernisa Kacorri from UMD aim to improve the support infrastructure and access to quality care for families of autistic children. Early interventions are strongly correlated with positive outcomes, while provider shortages and financial burdens have raised challenges—particularly for families without sufficient resources and experience. The researchers will develop novel parent-robot teaming for the home, advance the assistive technology, and assess the impact of teaming to promote more trust in human-robot collaborative settings.
Soheil Feizi from UMD and Robert Brauneis from GW will investigate various issues surrounding text-to-image [emphasis mine] generative AI models like Stable Diffusion, DALL-E 2, and Midjourney, focusing on myriad legal, aesthetic and computational aspects that are currently unresolved. A key question is how copyright law might adapt if these tools create works in an artist’s style. The team will explore how generative AI models represent individual artists’ styles, and whether those representations are complex and distinctive enough to form stable objects of protection. The researchers will also explore legal and technical questions to determine if specific artworks, especially rare and unique ones, have already been used to train AI models.
Huaishu Peng and Ge Gao from UMD will work with Malte Jung from Cornell to increase trust-building in embodied AI systems, which bridge the gap between computers and human physical senses. Specifically, the researchers will explore embodied AI systems in the form of miniaturized on-body or desktop robotic systems that can enable the exchange of nonverbal cues between blind and sighted individuals, an essential component of efficient collaboration. The researchers will also examine multiple factors—both physical and mental—in order to gain a deeper understanding of both groups’ values related to teamwork facilitated by embodied AI.
Marine Carpuat and Ge Gao from UMD will explore “mental models”—how humans perceive things—for language translation systems used by millions of people daily. They will focus on how individuals, depending on their language fluency and familiarity with the technology, make sense of their “error boundary”—that is, deciding whether an AI-generated translation is correct or incorrect. The team will also develop innovative techniques to teach users how to improve their mental models as they interact with machine translation systems.
Hal Daumé III, Furong Huang and Zubin Jelveh from UMD and Donald Braman from GW will propose new philosophies grounded in law to conceptualize, evaluate and achieve “effort-aware fairness,” which involves algorithms for determining whether an individual or a group of individuals is discriminated against in terms of equality of effort. The researchers will develop new metrics, evaluate fairness of datasets, and design novel algorithms that enable AI auditors to uncover and potentially correct unfair decisions.
Lorien Abroms and David Broniatowski from GW will recruit smokers to study the reliability of using generative chatbots, such as ChatGPT, as the basis for a digital smoking cessation program. Additional work will examine the acceptability by smokers and their perceptions of trust in using this rapidly evolving technology for help to quit smoking. The researchers hope their study will directly inform future digital interventions for smoking cessation and/or modifying other health behaviors.
Adam Aviv from GW and Michelle Mazurek from UMD will examine bias, unfairness and untruths such as sexism, racism and other forms of misrepresentation that come out of certain AI and machine learning systems. Though some systems have public warnings of potential biases, the researchers want to explore how users understand these warnings, if they recognize how biases may manifest themselves in the AI-generated responses, and how users attempt to expose, mitigate and manage potentially biased responses.
Susan Ariel Aaronson and David Broniatowski from GW plan to create a prototype of a searchable, easy-to-use website to enable policymakers to better utilize academic research related to trustworthy and participatory AI. The team will analyze research publications by TRAILS-affiliated researchers to ascertain which ones may have policy implications. Then, each relevant publication will be summarized and categorized by research questions, issues, keywords, and relevant policymaking uses. The resulting database prototype will enable the researchers to test the utility of this resource for policymakers over time.
Yes, things are moving quickly where AI is concerned. There’s text-to-image being investigated by Soheil Feizi and Robert Brauneis and, since the funding announcement in early January 2024, text-to-video has been announced (Open AI’s Sora was previewed February 15, 2024). I wonder if that will be added to the project.
One more comment, Huaishu Peng’s, Ge Gao’s, and Malte Jung’s project for “… trust-building in embodied AI systems …” brings to mind Elon Musk’s stated goal of using brain implants for“human/AI symbiosis.” (I have more about that in an upcoming post.) Hopefully, Susan Ariel Aaronson’s and David Broniatowski’s proposed website for policymakers will be able to keep up with what’s happening in the field of AI, including research on the impact of private investments primarily designed for generating profits.
I haven’t seen this much interest in the ethics and social impacts of emerging technologies in years. It seems that the latest AI (artificial intelligence) panic has stimulated interest not only in regulation but ethics too.
NSF and philanthropic partners announce $16 million in funding to prioritize ethical and social considerations in emerging technologies
ReDDDoT is a collaboration with five philanthropic partners and crosses all disciplines of science and engineering_
The U.S. National Science Foundation today launched a new $16 million program in collaboration with five philanthropic partners that seeks to ensure ethical, legal, community and societal considerations are embedded in the lifecycle of technology’s creation and use. The Responsible Design, Development and Deployment of Technologies (ReDDDoT) program aims to help create technologies that promote the public’s wellbeing and mitigate potential harms.
“The design, development and deployment of technologies have broad impacts on society,” said NSF Director Sethuraman Panchanathan. “As discoveries and innovations are translated to practice, it is essential that we engage and enable diverse communities to participate in this work. NSF and its philanthropic partners share a strong commitment to creating a comprehensive approach for co-design through soliciting community input, incorporating community values and engaging a broad array of academic and professional voices across the lifecycle of technology creation and use.”
The ReDDDoT program invites proposals from multidisciplinary, multi-sector teams that examine and demonstrate the principles, methodologies and impacts associated with responsible design, development and deployment of technologies, especially those specified in the “CHIPS and Science Act of 2022.” In addition to NSF, the program is funded and supported by the Ford Foundation, the Patrick J. McGovern Foundation, Pivotal Ventures, Siegel Family Endowment and the Eric and Wendy Schmidt Fund for Strategic Innovation.
“In recognition of the role responsible technologists can play to advance human progress, and the danger unaccountable technology poses to social justice, the ReDDDoT program serves as both a collaboration and a covenant between philanthropy and government to center public interest technology into the future of progress,” said Darren Walker, president of the Ford Foundation. “This $16 million initiative will cultivate expertise from public interest technologists across sectors who are rooted in community and grounded by the belief that innovation, equity and ethics must equally be the catalysts for technological progress.”
The broad goals of ReDDDoT include:
*Stimulating activity and filling gaps in research, innovation and capacity building in the responsible design, development, and deployment of technologies. * Creating broad and inclusive communities of interest that bring together key stakeholders to better inform practices for the design, development, and deployment of technologies. * Educating and training the science, technology, engineering, and mathematics workforce on approaches to responsible design, development, and deployment of technologies. * Accelerating pathways to societal and economic benefits while developing strategies to avoid or mitigate societal and economic harms. * Empowering communities, including economically disadvantaged and marginalized populations, to participate in all stages of technology development, including the earliest stages of ideation and design.
Phase 1 of the program solicits proposals for Workshops, Planning Grants, or the creation of Translational Research Coordination Networks, while Phase 2 solicits full project proposals. The initial areas of focus for 2024 include artificial intelligence, biotechnology or natural and anthropogenic disaster prevention or mitigation. Future iterations of the program may consider other key technology focus areas enumerated in the CHIPS and Science Act.
“The core belief at the heart of ReDDDoT – that technology should be shaped by ethical, legal, and societal considerations as well as community values – also drives the work of the Patrick J. McGovern Foundation to build a human-centered digital future for all. We’re pleased to support this partnership, committed to advancing the development of AI, biotechnology, and climate technologies that advance equity, sustainability, and justice.” – Vilas Dhar, President, Patrick J. McGovern Foundation
“From generative AI to quantum computing, the pace of technology development is only accelerating. Too often, technological advances are not accompanied by discussion and design that considers negative impacts or unrealized potential. We’re excited to support ReDDDoT as an opportunity to uplift new and often forgotten perspectives that critically examine technology’s impact on civic life, and advance Siegel Family Endowment’s vision of technological change that includes and improves the lives of all people.” – Katy Knight, President and Executive Director of Siegel Family Endowment
The University of Maryland has been chosen to lead a multi-institutional effort supported by the National Science Foundation (NSF) that will develop new artificial intelligence (AI) technologies designed to promote trust and mitigate risks, while simultaneously empowering and educating the public.
The NSF Institute for Trustworthy AI in Law & Society (TRAILS) announced on May 4, 2023, unites specialists in AI and machine learning with social scientists, legal scholars, educators and public policy experts. The multidisciplinary team will work with impacted communities, private industry and the federal government to determine what trust in AI looks like, how to develop technical solutions for AI that can be trusted, and which policy models best create and sustain trust.
Funded by a $20 million award from NSF, the new institute is expected to transform the practice of AI from one driven primarily by technological innovation to one that is driven by ethics, human rights, and input and feedback from communities whose voices have previously been marginalized.
“As artificial intelligence continues to grow exponentially, we must embrace its potential for helping to solve the grand challenges of our time, as well as ensure that it is used both ethically and responsibly,” said UMD President Darryll J. Pines. “With strong federal support, this new institute will lead in defining the science and innovation needed to harness the power of AI for the benefit of the public good and all humankind.”
In addition to UMD, TRAILS will include faculty members from George Washington University (GW) and Morgan State University, with more support coming from Cornell University, the National Institute of Standards and Technology (NIST), and private sector organizations like the DataedX Group, Arthur AI, Checkstep, FinRegLab and Techstars.
At the heart of establishing the new institute is the consensus that AI is currently at a crossroads. AI-infused systems have great potential to enhance human capacity, increase productivity, catalyze innovation, and mitigate complex problems, but today’s systems are developed and deployed in a process that is opaque and insular to the public, and therefore, often untrustworthy to those affected by the technology.
“We’ve structured our research goals to educate, learn from, recruit, retain and support communities whose voices are often not recognized in mainstream AI development,” said Hal Daumé III, a UMD professor of computer science who is lead principal investigator of the NSF award and will serve as the director of TRAILS.
Inappropriate trust in AI can result in many negative outcomes, Daumé said. People often “overtrust” AI systems to do things they’re fundamentally incapable of. This can lead to people or organizations giving up their own power to systems that are not acting in their best interest. At the same time, people can also “undertrust” AI systems, leading them to avoid using systems that could ultimately help them.
Given these conditions—and the fact that AI is increasingly being deployed to mediate society’s online communications, determine health care options, and offer guidelines in the criminal justice system—it has become urgent to ensure that people’s trust in AI systems matches those same systems’ level of trustworthiness.
TRAILS has identified four key research thrusts to promote the development of AI systems that can earn the public’s trust through broader participation in the AI ecosystem.
The first, known as participatory AI, advocates involving human stakeholders in the development, deployment and use of these systems. It aims to create technology in a way that aligns with the values and interests of diverse groups of people, rather than being controlled by a few experts or solely driven by profit.
Leading the efforts in participatory AI is Katie Shilton, an associate professor in UMD’s College of Information Studies who specializes in ethics and sociotechnical systems. Tom Goldstein, a UMD associate professor of computer science, will lead the institute’s second research thrust, developing advanced machine learning algorithms that reflect the values and interests of the relevant stakeholders.
Daumé, Shilton and Goldstein all have appointments in the University of Maryland Institute for Advanced Computer Studies, which is providing administrative and technical support for TRAILS.
David Broniatowski, an associate professor of engineering management and systems engineering at GW, will lead the institute’s third research thrust of evaluating how people make sense of the AI systems that are developed, and the degree to which their levels of reliability, fairness, transparency and accountability will lead to appropriate levels of trust. Susan Ariel Aaronson, a research professor of international affairs at GW, will use her expertise in data-driven change and international data governance to lead the institute’s fourth thrust of participatory governance and trust.
Virginia Byrne, an assistant professor of higher education and student affairs at Morgan State, will lead community-driven projects related to the interplay between AI and education. According to Daumé, the TRAILS team will rely heavily on Morgan State’s leadership—as Maryland’s preeminent public urban research university—in conducting rigorous, participatory community-based research with broad societal impacts.
Additional academic support will come from Valerie Reyna, a professor of human development at Cornell, who will use her expertise in human judgment and cognition to advance efforts focused on how people interpret their use of AI.
Federal officials at NIST will collaborate with TRAILS in the development of meaningful measures, benchmarks, test beds and certification methods—particularly as they apply to important topics essential to trust and trustworthiness such as safety, fairness, privacy, transparency, explainability, accountability, accuracy and reliability.
“The ability to measure AI system trustworthiness and its impacts on individuals, communities and society is limited. TRAILS can help advance our understanding of the foundations of trustworthy AI, ethical and societal considerations of AI, and how to build systems that are trusted by the people who use and are affected by them,” said Under Secretary of Commerce for Standards and Technology and NIST Director Laurie E. Locascio.
Today’s announcement [May 4, 2023] is the latest in a series of federal grants establishing a cohort of National Artificial Intelligence Research Institutes. This recent investment in seven new AI institutes, totaling $140 million, follows two previous rounds of awards.
“Maryland is at the forefront of our nation’s scientific innovation thanks to our talented workforce, top-tier universities, and federal partners,” said U.S. Sen. Chris Van Hollen (D-Md.). “This National Science Foundation award for the University of Maryland—in coordination with other Maryland-based research institutions including Morgan State University and NIST—will promote ethical and responsible AI development, with the goal of helping us harness the benefits of this powerful emerging technology while limiting the potential risks it poses. This investment entrusts Maryland with a critical priority for our shared future, recognizing the unparalleled ingenuity and world-class reputation of our institutions.”
The NSF, in collaboration with government agencies and private sector leaders, has now invested close to half a billion dollars in the AI institutes ecosystem—an investment that expands a collaborative AI research network into almost every U.S. state.
“The National AI Research Institutes are a critical component of our nation’s AI innovation, infrastructure, technology, education and partnerships ecosystem,” said NSF Director Sethuraman Panchanathan. “[They] are driving discoveries that will ensure our country is at the forefront of the global AI revolution.”
As noted in the UMD news release, this funding is part of a ‘bundle’, here’s more from the May 4, 2023 US NSF news release announcing the full $ 140 million funding program, Note: Links have been removed,
The U.S. National Science Foundation, in collaboration with other federal agencies, higher education institutions and other stakeholders, today announced a $140 million investment to establish seven new National Artificial Intelligence Research Institutes. The announcement is part of a broader effort across the federal government to advance a cohesive approach to AI-related opportunities and risks.
The new AI Institutes will advance foundational AI research that promotes ethical and trustworthy AI systems and technologies, develop novel approaches to cybersecurity, contribute to innovative solutions to climate change, expand the understanding of the brain, and leverage AI capabilities to enhance education and public health. The institutes will support the development of a diverse AI workforce in the U.S. and help address the risks and potential harms posed by AI. This investment means NSF and its funding partners have now invested close to half a billion dollars in the AI Institutes research network, which reaches almost every U.S. state.
“The National AI Research Institutes are a critical component of our nation’s AI innovation, infrastructure, technology, education and partnerships ecosystem,” said NSF Director Sethuraman Panchanathan. “These institutes are driving discoveries that will ensure our country is at the forefront of the global AI revolution.”
“These strategic federal investments will advance American AI infrastructure and innovation, so that AI can help tackle some of the biggest challenges we face, from climate change to health. Importantly, the growing network of National AI Research Institutes will promote responsible innovation that safeguards people’s safety and rights,” said White House Office of Science and Technology Policy Director Arati Prabhakar.
The new AI Institutes are interdisciplinary collaborations among top AI researchers and are supported by co-funding from the U.S. Department of Commerce’s National Institutes of Standards and Technology (NIST); U.S. Department of Homeland Security’s Science and Technology Directorate (DHS S&T); U.S. Department of Agriculture’s National Institute of Food and Agriculture (USDA-NIFA); U.S. Department of Education’s Institute of Education Sciences (ED-IES); U.S. Department of Defense’s Office of the Undersecretary of Defense for Research and Engineering (DoD OUSD R&E); and IBM Corporation (IBM).
“Foundational research in AI and machine learning has never been more critical to the understanding, creation and deployment of AI-powered systems that deliver transformative and trustworthy solutions across our society,” said NSF Assistant Director for Computer and Information Science and Engineering Margaret Martonosi. “These recent awards, as well as our AI Institutes ecosystem as a whole, represent our active efforts in addressing national economic and societal priorities that hinge on our nation’s AI capability and leadership.”
The new AI Institutes focus on six research themes:
Trustworthy AI
NSF Institute for Trustworthy AI in Law & Society (TRAILS)
Led by the University of Maryland, TRAILS aims to transform the practice of AI from one driven primarily by technological innovation to one driven with attention to ethics, human rights and support for communities whose voices have been marginalized into mainstream AI. TRAILS will be the first institute of its kind to integrate participatory design, technology, and governance of AI systems and technologies and will focus on investigating what trust in AI looks like, whether current technical solutions for AI can be trusted, and which policy models can effectively sustain AI trustworthiness. TRAILS is funded by a partnership between NSF and NIST.
Intelligent Agents for Next-Generation Cybersecurity
AI Institute for Agent-based Cyber Threat Intelligence and Operation (ACTION)
Led by the University of California, Santa Barbara, this institute will develop novel approaches that leverage AI to anticipate and take corrective actions against cyberthreats that target the security and privacy of computer networks and their users. The team of researchers will work with experts in security operations to develop a revolutionary approach to cybersecurity, in which AI-enabled intelligent security agents cooperate with humans across the cyberdefense life cycle to jointly improve the resilience of security of computer systems over time. ACTION is funded by a partnership between NSF, DHS S&T, and IBM.
Climate Smart Agriculture and Forestry
AI Institute for Climate-Land Interactions, Mitigation, Adaptation, Tradeoffs and Economy (AI-CLIMATE)
Led by the University of Minnesota Twin Cities, this institute aims to advance foundational AI by incorporating knowledge from agriculture and forestry sciences and leveraging these unique, new AI methods to curb climate effects while lifting rural economies. By creating a new scientific discipline and innovation ecosystem intersecting AI and climate-smart agriculture and forestry, our researchers and practitioners will discover and invent compelling AI-powered knowledge and solutions. Examples include AI-enhanced estimation methods of greenhouse gases and specialized field-to-market decision support tools. A key goal is to lower the cost of and improve accounting for carbon in farms and forests to empower carbon markets and inform decision making. The institute will also expand and diversify rural and urban AI workforces. AI-CLIMATE is funded by USDA-NIFA.
Neural and Cognitive Foundations of Artificial Intelligence
AI Institute for Artificial and Natural Intelligence (ARNI)
Led by Columbia University, this institute will draw together top researchers across the country to focus on a national priority: connecting the major progress made in AI systems to the revolution in our understanding of the brain. ARNI will meet the urgent need for new paradigms of interdisciplinary research between neuroscience, cognitive science and AI. This will accelerate progress in all three fields and broaden the transformative impact on society in the next decade. ARNI is funded by a partnership between NSF and DoD OUSD R&E.
AI for Decision Making
AI Institute for Societal Decision Making (AI-SDM)
Led by Carnegie Mellon University, this institute seeks to create human-centric AI for decision making to bolster effective response in uncertain, dynamic and resource-constrained scenarios like disaster management and public health. By bringing together an interdisciplinary team of AI and social science researchers, AI-SDM will enable emergency managers, public health officials, first responders, community workers and the public to make decisions that are data driven, robust, agile, resource efficient and trustworthy. The vision of the institute will be realized via development of AI theory and methods, translational research, training and outreach, enabled by partnerships with diverse universities, government organizations, corporate partners, community colleges, public libraries and high schools.
AI-Augmented Learning to Expand Education Opportunities and Improve Outcomes
AI Institute for Inclusive Intelligent Technologies for Education (INVITE)
Led by the University of Illinois Urbana-Champaign, this institute seeks to fundamentally reframe how educational technologies interact with learners by developing AI tools and approaches to support three crucial noncognitive skills known to underlie effective learning: persistence, academic resilience and collaboration. The institute’s use-inspired research will focus on how children communicate STEM content, how they learn to persist through challenging work, and how teachers support and promote noncognitive skill development. The resultant AI-based tools will be integrated into classrooms to empower teachers to support learners in more developmentally appropriate ways.
AI Institute for Exceptional Education (AI4ExceptionalEd)
Led by the University at Buffalo, this institute will work toward universal speech and language screening for children. The framework, the AI screener, will analyze video and audio streams of children during classroom interactions and assess the need for evidence-based interventions tailored to individual needs of students. The institute will serve children in need of ability-based speech and language services, advance foundational AI technologies and enhance understanding of childhood speech and language development. The AI Institute for Exceptional Education was previously announced in January 2023. The INVITE and AI4ExceptionalEd institutes are funded by a partnership between NSF and ED-IES.
Statements from NSF’s Federal Government Funding Partners
“Increasing AI system trustworthiness while reducing its risks will be key to unleashing AI’s potential benefits and ensuring our shared societal values,” said Under Secretary of Commerce for Standards and Technology and NIST Director Laurie E. Locascio. “Today, the ability to measure AI system trustworthiness and its impacts on individuals, communities and society is limited. TRAILS can help advance our understanding of the foundations of trustworthy AI, ethical and societal considerations of AI, and how to build systems that are trusted by the people who use and are affected by them.”
“The ACTION Institute will help us better assess the opportunities and risks of rapidly evolving AI technology and its impact on DHS missions,” said Dimitri Kusnezov, DHS under secretary for science and technology. “This group of researchers and their ambition to push the limits of fundamental AI and apply new insights represents a significant investment in cybersecurity defense. These partnerships allow us to collectively remain on the forefront of leading-edge research for AI technologies.”
“In the tradition of USDA National Institute of Food and Agriculture investments, this new institute leverages the scientific power of U.S. land-grant universities informed by close partnership with farmers, producers, educators and innovators to address the grand challenge of rising greenhouse gas concentrations and associated climate change,” said Acting NIFA Director Dionne Toombs. “This innovative center will address the urgent need to counter climate-related threats, lower greenhouse gas emissions, grow the American workforce and increase new rural opportunities.”
“The leading-edge in AI research inevitably draws from our, so far, limited understanding of human cognition. This AI Institute seeks to unify the fields of AI and neuroscience to bring advanced designs and approaches to more capable and trustworthy AI, while also providing better understanding of the human brain,” said Bindu Nair, director, Basic Research Office, Office of the Undersecretary of Defense for Research and Engineering. “We are proud to partner with NSF in this critical field of research, as continued advancement in these areas holds the potential for further and significant benefits to national security, the economy and improvements in quality of life.”
“We are excited to partner with NSF on these two AI institutes,” said IES Director Mark Schneider. “We hope that they will provide valuable insights into how to tap modern technologies to improve the education sciences — but more importantly we hope that they will lead to better student outcomes and identify ways to free up the time of teachers to deliver more informed individualized instruction for the students they care so much about.”
Two things I noticed, (1) No mention of including ethics training or concepts in science and technology education and (2) No mention of integrating ethics and social issues into any of the AI Institutes. So, it seems that ‘Responsible Design, Development and Deployment of Technologies (ReDDDoT)’ occupies its own fiefdom.
Some sobering thoughts
Things can go terribly wrong with new technology as seen in the British television hit series, Mr. Bates vs. The Post Office (based on a true story) , from a January 9, 2024 posting by Ani Blundel for tellyvisions.org,
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… what is this show that’s caused the entire country to rise up as one to defend the rights of the lowly sub-postal worker? Known as the “British Post Office scandal,” the incidents first began in 1999 when the U.K. postal system began to switch to digital systems, using the Horizon Accounting system to track the monies brought in. However, the IT system was faulty from the start, and rather than blame the technology, the British government accused, arrested, persecuted, and convicted over 700 postal workers of fraud and theft. This continued through 2015 when the glitch was finally recognized, and in 2019, the convictions were ruled to be a miscarriage of justice.
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Here’s the series synopsis:
The drama tells the story of one of the greatest miscarriages of justice in British legal history. Hundreds of innocent sub-postmasters and postmistresses were wrongly accused of theft, fraud, and false accounting due to a defective IT system. Many of the wronged workers were prosecuted, some of whom were imprisoned for crimes they never committed, and their lives were irreparably ruined by the scandal. Following the landmark Court of Appeal decision to overturn their criminal convictions, dozens of former sub-postmasters and postmistresses have been exonerated on all counts as they battled to finally clear their names. They fought for over ten years, finally proving their innocence and sealing a resounding victory, but all involved believe the fight is not over yet, not by a long way.
Here’s a video trailer for ‘Mr. Bates vs. The Post Office,
The outcry from the general public against the government’s bureaucratic mismanagement and abuse of employees has been loud and sustained enough that Prime Minister Rishi Sunak had to come out with a statement condemning what happened back during the 2009 incident. Further, the current Justice Secretary, Alex Chalk, is now trying to figure out the fastest way to exonerate the hundreds of sub-post managers and sub-postmistresses who were wrongfully convicted back then and if there are steps to be taken to punish the post office a decade later.
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It’s a horrifying story and the worst I’ve seen so far but, sadly, it’s not the only one of its kind.
Too often people’s concerns and worries about new technology are dismissed or trivialized. Somehow, all the work done to establish ethical standards and develop trust seems to be used as a kind of sop to the concerns rather than being integrated into the implementation of life-altering technologies.
An October 22, 2023 commentary by Rae Hodge for Salon.com introduces the new work with a beautiful lede/lead and more,
A recently published scientific article proposes a sweeping new law of nature, approaching the matter with dry, clinical efficiency that still reads like poetry.
“A pervasive wonder of the natural world is the evolution of varied systems, including stars, minerals, atmospheres, and life,” the scientists write in the Proceedings of the National Academy of Sciences. “Evolving systems are asymmetrical with respect to time; they display temporal increases in diversity, distribution, and/or patterned behavior,” they continue, mounting their case from the shoulders of Charles Darwin, extending it toward all things living and not.
To join the known physics laws of thermodynamics, electromagnetism and Newton’s laws of motion and gravity, the nine scientists and philosophers behind the paper propose their “law of increasing functional information.”
In short, a complex and evolving system — whether that’s a flock of gold finches or a nebula or the English language — will produce ever more diverse and intricately detailed states and configurations of itself.
And here, any writer should find their breath caught in their throat. Any writer would have to pause and marvel.
It’s a rare thing to hear the voice of science singing toward its twin in the humanities. The scientists seem to be searching in their paper for the right words to describe the way the nested trills of a flautist rise through a vaulted cathedral to coalesce into notes themselves not played by human breath. And how, in the very same way, the oil-slick sheen of a June Bug wing may reveal its unseen spectra only against the brief-blooming dogwood in just the right season of sun.
Both intricate configurations of art and matter arise and fade according to their shared characteristic, long-known by students of the humanities: each have been graced with enough time to attend to the necessary affairs of their most enduring pleasures.
A paper published in the Proceedings of the National Academy of Sciences describes “a missing law of nature,” recognizing for the first time an important norm within the natural world’s workings.
In essence, the new law states that complex natural systems evolve to states of greater patterning, diversity, and complexity. In other words, evolution is not limited to life on Earth, it also occurs in other massively complex systems, from planets and stars to atoms, minerals, and more.
It was authored by a nine-member team— scientists from the Carnegie Institution for Science, the California Institute of Technology (Caltech) and Cornell University, and philosophers from the University of Colorado.
“Macroscopic” laws of nature describe and explain phenomena experienced daily in the natural world. Natural laws related to forces and motion, gravity, electromagnetism, and energy, for example, were described more than 150 years ago.
The new work presents a modern addition — a macroscopic law recognizing evolution as a common feature of the natural world’s complex systems, which are characterised as follows:
They are formed from many different components, such as atoms, molecules, or cells, that can be arranged and rearranged repeatedly
Are subject to natural processes that cause countless different arrangements to be formed
Only a small fraction of all these configurations survive in a process called “selection for function.”
Regardless of whether the system is living or nonliving, when a novel configuration works well and function improves, evolution occurs.
The authors’ “Law of Increasing Functional Information” states that the system will evolve “if many different configurations of the system undergo selection for one or more functions.”
“An important component of this proposed natural law is the idea of ‘selection for function,’” says Carnegie astrobiologist Dr. Michael L. Wong, first author of the study.
In the case of biology, Darwin equated function primarily with survival—the ability to live long enough to produce fertile offspring.
The new study expands that perspective, noting that at least three kinds of function occur in nature.
The most basic function is stability – stable arrangements of atoms or molecules are selected to continue. Also chosen to persist are dynamic systems with ongoing supplies of energy.
The third and most interesting function is “novelty”—the tendency of evolving systems to explore new configurations that sometimes lead to startling new behaviors or characteristics.
Life’s evolutionary history is rich with novelties—photosynthesis evolved when single cells learned to harness light energy, multicellular life evolved when cells learned to cooperate, and species evolved thanks to advantageous new behaviors such as swimming, walking, flying, and thinking.
The same sort of evolution happens in the mineral kingdom. The earliest minerals represent particularly stable arrangements of atoms. Those primordial minerals provided foundations for the next generations of minerals, which participated in life’s origins. The evolution of life and minerals are intertwined, as life uses minerals for shells, teeth, and bones.
Indeed, Earth’s minerals, which began with about 20 at the dawn of our Solar System, now number almost 6,000 known today thanks to ever more complex physical, chemical, and ultimately biological processes over 4.5 billion years.
In the case of stars, the paper notes that just two major elements – hydrogen and helium – formed the first stars shortly after the big bang. Those earliest stars used hydrogen and helium to make about 20 heavier chemical elements. And the next generation of stars built on that diversity to produce almost 100 more elements.
“Charles Darwin eloquently articulated the way plants and animals evolve by natural selection, with many variations and traits of individuals and many different configurations,” says co-author Robert M. Hazen of Carnegie Science, a leader of the research.
“We contend that Darwinian theory is just a very special, very important case within a far larger natural phenomenon. The notion that selection for function drives evolution applies equally to stars, atoms, minerals, and many other conceptually equivalent situations where many configurations are subjected to selective pressure.”
The co-authors themselves represent a unique multi-disciplinary configuration: three philosophers of science, two astrobiologists, a data scientist, a mineralogist, and a theoretical physicist.
Says Dr. Wong: “In this new paper, we consider evolution in the broadest sense—change over time—which subsumes Darwinian evolution based upon the particulars of ‘descent with modification.’”
“The universe generates novel combinations of atoms, molecules, cells, etc. Those combinations that are stable and can go on to engender even more novelty will continue to evolve. This is what makes life the most striking example of evolution, but evolution is everywhere.”
Among many implications, the paper offers:
Understanding into how differing systems possess varying degrees to which they can continue to evolve. “Potential complexity” or “future complexity” have been proposed as metrics of how much more complex an evolving system might become
Insights into how the rate of evolution of some systems can be influenced artificially. The notion of functional information suggests that the rate of evolution in a system might be increased in at least three ways: (1) by increasing the number and/or diversity of interacting agents, (2) by increasing the number of different configurations of the system; and/or 3) by enhancing the selective pressure on the system (for example, in chemical systems by more frequent cycles of heating/cooling or wetting/drying).
A deeper understanding of generative forces behind the creation and existence of complex phenomena in the universe, and the role of information in describing them
An understanding of life in the context of other complex evolving systems. Life shares certain conceptual equivalencies with other complex evolving systems, but the authors point to a future research direction, asking if there is something distinct about how life processes information on functionality (see also https://royalsocietypublishing.org/doi/10.1098/rsif.2022.0810).
Aiding the search for life elsewhere: if there is a demarcation between life and non-life that has to do with selection for function, can we identify the “rules of life” that allow us to discriminate that biotic dividing line in astrobiological investigations? (See also https://conta.cc/3LwLRYS, “Did Life Exist on Mars? Other Planets? With AI’s Help, We May Know Soon”)
At a time when evolving AI systems are an increasing concern, a predictive law of information that characterizes how both natural and symbolic systems evolve is especially welcome
Laws of nature – motion, gravity, electromagnetism, thermodynamics – etc. codify the general behavior of various macroscopic natural systems across space and time.
The “law of increasing functional information” published today complements the 2nd law of thermodynamics, which states that the entropy (disorder) of an isolated system increases over time (and heat always flows from hotter to colder objects).
* * * * *
Comments
“This is a superb, bold, broad, and transformational article. … The authors are approaching the fundamental issue of the increase in complexity of the evolving universe. The purpose is a search for a ‘missing law’ that is consistent with the known laws.
“At this stage of the development of these ideas, rather like the early concepts in the mid-19th century of coming to understand ‘energy’ and ‘entropy,’ open broad discussion is now essential.”
Stuart Kauffman Institute for Systems Biology, Seattle WA
“The study of Wong et al. is like a breeze of fresh air blowing over the difficult terrain at the trijunction of astrobiology, systems science and evolutionary theory. It follows in the steps of giants such as Erwin Schrödinger, Ilya Prigogine, Freeman Dyson and James Lovelock. In particular, it was Schrödinger who formulated the perennial puzzle: how can complexity increase — and drastically so! — in living systems, while they remain bound by the Second Law of thermodynamics? In the pile of attempts to resolve this conundrum in the course of the last 80 years, Wong et al. offer perhaps the best shot so far.”
“Their central idea, the formulation of the law of increasing functional information, is simple but subtle: a system will manifest an increase in functional information if its various configurations generated in time are selected for one or more functions. This, the authors claim, is the controversial ‘missing law’ of complexity, and they provide a bunch of excellent examples. From my admittedly quite subjective point of view, the most interesting ones pertain to life in radically different habitats like Titan or to evolutionary trajectories characterized by multiple exaptations of traits resulting in a dramatic increase in complexity. Does the correct answer to Schrödinger’s question lie in this direction? Only time will tell, but both my head and my gut are curiously positive on that one. Finally, another great merit of this study is worth pointing out: in this day and age of rabid Counter-Enlightenment on the loose, as well as relentless attacks on the freedom of thought and speech, we certainly need more unabashedly multidisciplinary and multicultural projects like this one.”
Milan Cirkovic Astronomical Observatory of Belgrade, Serbia; The Future of Humanity Institute, Oxford University [University of Oxford]
The natural laws we recognize today cannot yet account for one astounding characteristic of our universe—the propensity of natural systems to “evolve.” As the authors of this study attest, the tendency to increase in complexity and function through time is not specific to biology, but is a fundamental property observed throughout the universe. Wong and colleagues have distilled a set of principles which provide a foundation for cross-disciplinary discourse on evolving systems. In so doing, their work will facilitate the study of self-organization and emergent complexity in the natural world.
Corday Selden Department of Marine and Coastal Sciences, Rutgers University
The paper “On the roles of function and selection in evolving systems” provides an innovative, compelling, and sound theoretical framework for the evolution of complex systems, encompassing both living and non-living systems. Pivotal in this new law is functional information, which quantitatively captures the possibilities a system has to perform a function. As some functions are indeed crucial for the survival of a living organism, this theory addresses the core of evolution and is open to quantitative assessment. I believe this contribution has also the merit of speaking to different scientific communities that might find a common ground for open and fruitful discussions on complexity and evolution.
Andrea Roli Assistant Professor, Università di Bologna.
Here’s a link to and a citation for the paper,
On the roles of function and selection in evolving systems by Michael L. Wong, Carol E. Cleland, Daniel Arends Jr., Stuart Bartlett, H. James Cleaves, Heather Demarest, Anirudh Prabhu, Jonathan I. Lunine, and Robert M. Hazen. Proceedings of the National Academy of Sciences (PNAS) 120 (43) e2310223120 DOI: https://doi.org/10.1073/pnas.2310223120 Published: October 16, 2023
Common food additives known as metal oxide nanoparticles may have negative effects on your gut health, according to new research from Binghamton University, State University of New York and Cornell University.
Gretchen Mahler, professor of biomedical engineering and interim vice provost and dean of the Graduate School, worked in collaboration with Cornell researchers to study five of these nanoparticles. Their findings were recently published in the Journal of Antioxidants.
“They’re all actual food additives,” said Mahler. “Titanium dioxide tends to show up as a whitening and brightening agent. Silicon dioxide tends to be added to foods to prevent it from clumping. Iron oxide tends to be added to meats, for example, to keep that red color. And zinc oxide can be used as a preservative because it’s antimicrobial.” [emphases mine]
In order to test these nanoparticles, Mahler and Elad Tako, senior author and associate professor of food science in the College of Agriculture and Life Sciences at Cornell, used the intestinal tract of chickens. A chicken’s intestinal tract is comparable to a human’s; the microbiota that they have and the bacterial components have a lot of overlap with the microbiota that you see in the human digestive system, said Mahler.
“We’ve been testing a series of nanomaterials here at Binghamton, and we’ve been looking at things like nutrient absorption, enzyme expression and some of the more subtle, functional markers,” said Mahler.
The doses of nanoparticles that were tested reflect what is typically consumed by humans. The nanoparticles were injected into the amniotic sac of broiler chicken eggs, which are specifically bred and raised for their meat. These chickens get larger faster, so the effects of the nanoparticles are more obvious earlier in development. The amniotic sac at a certain stage of development flows through the chicken intestine.
“When they hatched, we harvested tissue from the small intestine, the microbiota and the liver,” said Mahler. “We looked at gene expression, microbiota composition and the structure of the small intestine.”
The researchers found more negative effects with silicone dioxide and titanium dioxide. They also found that the nanoparticles had affected the functioning of the chicken’s intestinal lining (called the brush border membrane), the balance of bacteria in their intestinal tract and the chickens’ ability to absorb minerals.
The other nanoparticles had more neutral, or even positive, effects. Zinc oxide appeared to support intestinal development or compensatory mechanisms due to intestinal damage. Iron oxide could potentially be used for iron fortification, but with potential alterations in intestinal functionality and health.
Mahler doesn’t want to suggest that these nanoparticles need to be removed from our diets completely. Their research is meant to provide some information, and allow people to have a better understanding of what’s really in the food they consume.
“We’re eating these things, so it’s important to consider what some of the more subtle effects could be,” said Mahler. “We develop these gut models around this problem to try to understand it, and this collaboration, where we have these complementary methods to try to look at the problem, has been successful.”
The SkinKit wearable sensing interface, developed in the Hybrid Body Lab, can be used for health and wellness, personal safety, as assistive technology and for athletic training, among many applications. Hybrid Body Lab/Provided
Researchers at Cornell University have come up with a reliable, skin-tight computing system that’s easy to attach and detach, and can be used for a variety of purposes – from health monitoring to fashion.
On-skin interfaces – sometimes known as “smart tattoos” – have the potential to outperform the sensing capabilities of current wearable technologies but combining comfort and durability has proven challenging.
“We’ve been working on this for years,” said Cindy (Hsin-Liu) Kao, assistant professor of human centered design, and the study’s senior author, “and I think we’ve finally figured out a lot of the technical challenges. We wanted to create a modular approach to smart tattoos, to make them as straightforward as building Legos.”
SkinKit – a plug-and-play system that aims to “lower the floor for entry” to on-skin interfaces for those with little or no technical expertise – is the product of countless hours of development, testing and redevelopment, Kao said. Fabrication is done with temporary tattoo paper, silicone textile stabilizer and water, creating a multi-layer thin film structure they call “skin cloth.” The layered material can be cut into desired shapes and fitted with electronics hardware to perform a range of tasks.
“The wearer can easily attach them together and also detach them,” said Pin-Sung Ku, lead author of the paper and Hybrid Body Lab member. “Let’s say that today you want to use one of the sensors for certain purposes, but tomorrow you want it for something different. You can easily just detach them and reuse some of the modules to make a new device in minutes.”
The paper “SkinKit: Construction Kit for On-Skin Interface Prototyping” was presented at UbiComp ’22, the Association for Computing Machinery’s international joint conference on pervasive and ubiquitous computing.
Here’s a SkinKit video provided by Cornell University’s Hybrid Body Lab,
Tom Fleischman’s November 3, 2022 story for the Cornell Chronicle provides more details about SkinKit (Note: Links have been removed),
SkinKit – a plug-and-play system that aims to “lower the floor for entry” to on-skin interfaces, Kao said, for those with little or no technical expertise – is the product of countless hours of development, testing and redevelopment, she said.
Kao’s lab is also very conscious of cultural differences generally, and she thinks it’s important to bring these devices to diverse populations.
“People from different cultures, backgrounds and ethnicities can have very different perceptions toward these devices,” she said. “We felt it’s actually very important to let more people have a voice in saying what they want these smart tattoos to do.”
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To test SkinKit, the researchers first recruited nine participants with both STEM and design backgrounds to build and wear the devices. Their input from the 90-minute workshop helped inform further modifications, which the group performed before conducting a larger, two-day study involving 25 participants with both STEM and design backgrounds.
Devices designed by the 25 study participants addressed: health and wellness, including temperature sensors to detect fever due to COVID-19; personal safety, including a device that would help the wearer maintain social distance during the pandemic; notification, including an arm-worn device that a runner could wear that would vibrate when a vehicle was near; and assistive technology, such as a wrist-worn sensor for the blind that would vibrate when the wearer was about to bump into an object.
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Kao said members of her lab, including Ku, took part in the 4-H Career Explorations Conference over the summer, and had approximately 10 middle-schoolers from upstate New York build their own SkinKit devices.
“I think it just shows us a lot of potential for STEM [science, technology, engineering, and mathematics] learning, and especially to be able to engage people who maybe originally wouldn’t have interest in STEM,” Kao said. “But by combining it with body art and fashion, I think there’s a lot of potential for it to engage the next generation and broader populations to explore the future of smart tattoos.”
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Here’s a citation for the paper,
“SkinKit: Construction Kit for On-Skin Interface Prototyping” by Pin-Sung Ku, Md. Tahmidul Islam Molla, Kunpeng Huang, Priya Kattappurath, Krithik Ranjan, Hsin-Liu Cindy Kao. Proceedings of the ACM [Aossciation for Computing Machinery] on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 5 Issue 4 Dec 2021 Article No.: 165pp 1–23 DOI: https://doi.org/10.1145/3494989 Published: 30 December 2021
The Hybrid Body Lab at Cornell University, founded and directed by Prof. Cindy Hsin-Liu Kao, focuses on the invention of culturally-inspired materials, processes, and tools for crafting technology on the body surface. Designing across scales, we explore how body scale interfaces can enhance our relations with everyday products and both natural and man-made environments. We conduct research at the intersection of Human-Computer Interaction, Wearable & Ubiquitous Computing, Digital Fabrication, Interaction Design, and Fashion & Body Art. We synthesize this knowledge to contribute a culturally-sensitive lens to the future of designs that interface the body and the environment. Our current investigations include:
Wearable Technology & On-Skin Interfaces We develop novel wearable interfaces and fabrication processes, which a focus on skin-conformable or textile-based form factors. By hybridizing miniaturized robotics, machines, and materials with cultural body decoration practices, we investigate how technology can be situated as a culturally meaningful material for crafting our identities.
Designing Skins Across Scales ‘Many different types of machines that were parts of architecture have become parts of our bodies.’ —Bill Mitchell, Me++
We design “skins” that can be adapted across scales, from the architectural to the body scale. We investigate the interactions of a wearer’s body-borne interface with its surrounding ecology. This includes its interaction with other people, objects, to environments. We are also interested in developing skins that can be deployed across scales — from the body to the architectural scale.
Understanding Social Perceptions Towards On-Body Technologies Wearable devices have evolved towards intrinsic human augmentation, unlocking the human skin as an interface for seamless interaction. However, the non-traditional form factor of these on-skin interfaces may raise concerns for public wear. These perceptions will influence whether a new form of technology will eventually be accepted, or rejected by society. We investigate the cultural and social concerns that need to be considered when generating on-body technologies for inclusive design.
