Tag Archives: John von Neumann

AI-led corporate entities as a new species of legal subject

An AI (artificial intelligence) agent running a business? Not to worry, lawyers are busy figuring out the implications according to this October 26, 2023 American Association for the Advancement of Science (AAAS) news release on EurekAlert,

For the first time in human history, say Daniel Gervais and John Nay in a Policy Forum, nonhuman entities that are not directed by humans – such as artificial intelligence (AI)-operated corporations – should enter the legal system as a new “species” of legal subject. AI has evolved to the point where it could function as a legal subject with rights and obligations, say the authors. As such, before the issue becomes too complex and difficult to disentangle, “interspecific” legal frameworks need to be developed by which AI can be treated as legal subjects, they write. Until now, the legal system has been univocal – it allows only humans to speak to its design and use. Nonhuman legal subjects like animals have necessarily instantiated their rights through human proxies. However, their inclusion is less about defining and protecting the rights and responsibilities of these nonhuman subjects and more a vehicle for addressing human interests and obligations as it relates to them. In the United States, corporations are recognized as “artificial persons” within the legal system. However, the laws of some jurisdictions do not always explicitly require corporate entities to have human owners or managers at their helm. Thus, by law, nothing generally prevents an AI from operating a corporate entity. Here, Gervais and Nay highlight the rapidly realizing concept of AI-operated “zero-member LLCs” – or a corporate entity operating autonomously without any direct human involvement in the process. The authors discuss several pathways in which such AI-operated LLCs and their actions could be handled within the legal system. As the idea of ceasing AI development and use is highly unrealistic, Gervais and Nay discuss other options, including regulating AI by treating the machines as legally inferior to humans or engineering AI systems to be law-abiding and bringing them into the legal fold now before it becomes too complicated to do so.

Gervais and Nay have written an October 26, 2023 essay “AIs could soon run businesses – it’s an opportunity to ensure these ‘artificial persons’ follow the law” for The Conversation, which helps clarify matters, Note: Links have been removed,

Only “persons” can engage with the legal system – for example, by signing contracts or filing lawsuits. There are two main categories of persons: humans, termed “natural persons,” and creations of the law, termed “artificial persons.” These include corporations, nonprofit organizations and limited liability companies (LLCs).

Up to now, artificial persons have served the purpose of helping humans achieve certain goals. For example, people can pool assets in a corporation and limit their liability vis-à-vis customers or other persons who interact with the corporation. But a new type of artificial person is poised to enter the scene – artificial intelligence systems, and they won’t necessarily serve human interests.

As scholars who study AI and law we believe that this moment presents a significant challenge to the legal system: how to regulate AI within existing legal frameworks to reduce undesirable behaviors, and how to assign legal responsibility for autonomous actions of AIs.

One solution is teaching AIs to be law-abiding entities.

This is far from a philosophical question. The laws governing LLCs in several U.S. states do not require that humans oversee the operations of an LLC. In fact, in some states it is possible to have an LLC with no human owner, or “member” [emphasis mine] – for example, in cases where all of the partners have died. Though legislators probably weren’t thinking of AI when they crafted the LLC laws, the possibility for zero-member LLCs opens the door to creating LLCs operated by AIs.

Many functions inside small and large companies have already been delegated to AI in part, including financial operations, human resources and network management, to name just three. AIs can now perform many tasks as well as humans do. For example, AIs can read medical X-rays and do other medical tasks, and carry out tasks that require legal reasoning. This process is likely to accelerate due to innovation and economic interests.

I found the essay illuminating and the abstract for the paper (link and citation for paper at end of this post), a little surprising,

Several experts have warned about artificial intelligence (AI) exceeding human capabilities, a “singularity” [emphasis mine] at which it might evolve beyond human control. Whether this will ever happen is a matter of conjecture. A legal singularity is afoot, however: For the first time, nonhuman entities that are not directed by humans may enter the legal system as a new “species” of legal subjects. This possibility of an “interspecific” legal system provides an opportunity to consider how AI might be built and governed. We argue that the legal system may be more ready for AI agents than many believe. Rather than attempt to ban development of powerful AI, wrapping of AI in legal form could reduce undesired AI behavior by defining targets for legal action and by providing a research agenda to improve AI governance, by embedding law into AI agents, and by training AI compliance agents.

it was a little unexpected to see the ‘singularity’ mentioned. it’s a term I associate with the tech and the sci fi communities.For anyone unfamiliar with the term, here’s a description from the ‘Technological singularity’ Wikipedia entry, Note: Links have been removed,

The technological singularity—or simply the singularity[1]—is a hypothetical future point in time at which technological growth becomes uncontrollable and irreversible, resulting in unforeseeable consequences for human civilization.[2][3] According to the most popular version of the singularity hypothesis, I. J. Good’s intelligence explosion model, an upgradable intelligent agent will eventually enter a “runaway reaction” of self-improvement cycles, each new and more intelligent generation appearing more and more rapidly, causing an “explosion” in intelligence and resulting in a powerful superintelligence that qualitatively far surpasses all human intelligence.[4]

The first person to use the concept of a “singularity” in the technological context was the 20th-century Hungarian-American mathematician John von Neumann.[5] Stanislaw Ulam reports in 1958 an earlier discussion with von Neumann “centered on the accelerating progress of technology and changes in the mode of human life, which gives the appearance of approaching some essential singularity in the history of the race beyond which human affairs, as we know them, could not continue”.[6] Subsequent authors have echoed this viewpoint.[3][7]

The concept and the term “singularity” were popularized by Vernor Vinge first in 1983 in an article that claimed that once humans create intelligences greater than their own, there will be a technological and social transition similar in some sense to “the knotted space-time at the center of a black hole”,[8] and later in his 1993 essay The Coming Technological Singularity,[4][7] in which he wrote that it would signal the end of the human era, as the new superintelligence would continue to upgrade itself and would advance technologically at an incomprehensible rate. He wrote that he would be surprised if it occurred before 2005 or after 2030.[4] Another significant contributor to wider circulation of the notion was Ray Kurzweil’s 2005 book The Singularity Is Near, predicting singularity by 2045.[7]

Finally, here’s a link to and a citation for the paper,

Law could recognize nonhuman AI-led corporate entities by Daniel J. Gervais and John J. Nay. Science 26 Oct 2023 Vol 382, Issue 6669 pp. 376-378 DOI: 10.1126/science.adi8678

This paper is behind a paywall.

Neuromorphic engineering: an overview

In a February 13, 2023 essay, Michael Berger who runs the Nanowerk website provides an overview of brainlike (neuromorphic) engineering.

This essay is the most extensive piece I’ve seen on Berger’s website and it covers everything from the reasons why scientists are so interested in mimicking the human brain to specifics about memristors. Here are a few excerpts (Note: Links have been removed),

Neuromorphic engineering is a cutting-edge field that focuses on developing computer hardware and software systems inspired by the structure, function, and behavior of the human brain. The ultimate goal is to create computing systems that are significantly more energy-efficient, scalable, and adaptive than conventional computer systems, capable of solving complex problems in a manner reminiscent of the brain’s approach.

This interdisciplinary field draws upon expertise from various domains, including neuroscience, computer science, electronics, nanotechnology, and materials science. Neuromorphic engineers strive to develop computer chips and systems incorporating artificial neurons and synapses, designed to process information in a parallel and distributed manner, akin to the brain’s functionality.

Key challenges in neuromorphic engineering encompass developing algorithms and hardware capable of performing intricate computations with minimal energy consumption, creating systems that can learn and adapt over time, and devising methods to control the behavior of artificial neurons and synapses in real-time.

Neuromorphic engineering has numerous applications in diverse areas such as robotics, computer vision, speech recognition, and artificial intelligence. The aspiration is that brain-like computing systems will give rise to machines better equipped to tackle complex and uncertain tasks, which currently remain beyond the reach of conventional computers.

It is essential to distinguish between neuromorphic engineering and neuromorphic computing, two related but distinct concepts. Neuromorphic computing represents a specific application of neuromorphic engineering, involving the utilization of hardware and software systems designed to process information in a manner akin to human brain function.

One of the major obstacles in creating brain-inspired computing systems is the vast complexity of the human brain. Unlike traditional computers, the brain operates as a nonlinear dynamic system that can handle massive amounts of data through various input channels, filter information, store key information in short- and long-term memory, learn by analyzing incoming and stored data, make decisions in a constantly changing environment, and do all of this while consuming very little power.

The Human Brain Project [emphasis mine], a large-scale research project launched in 2013, aims to create a comprehensive, detailed, and biologically realistic simulation of the human brain, known as the Virtual Brain. One of the goals of the project is to develop new brain-inspired computing technologies, such as neuromorphic computing.

The Human Brain Project has been funded by the European Union (1B Euros over 10 years starting in 2013 and sunsetting in 2023). From the Human Brain Project Media Invite,

The final Human Brain Project Summit 2023 will take place in Marseille, France, from March 28-31, 2023.

As the ten-year European Flagship Human Brain Project (HBP) approaches its conclusion in September 2023, the final HBP Summit will highlight the scientific achievements of the project at the interface of neuroscience and technology and the legacy that it will leave for the brain research community. …

One last excerpt from the essay,

Neuromorphic computing is a radical reimagining of computer architecture at the transistor level, modeled after the structure and function of biological neural networks in the brain. This computing paradigm aims to build electronic systems that attempt to emulate the distributed and parallel computation of the brain by combining processing and memory in the same physical location.

This is unlike traditional computing, which is based on von Neumann systems consisting of three different units: processing unit, I/O unit, and storage unit. This stored program architecture is a model for designing computers that uses a single memory to store both data and instructions, and a central processing unit to execute those instructions. This design, first proposed by mathematician and computer scientist John von Neumann, is widely used in modern computers and is considered to be the standard architecture for computer systems and relies on a clear distinction between memory and processing.

I found the diagram Berger Included with von Neumann’s design contrasted with a neuromorphic design illuminating,

A graphical comparison of the von Neumann and Neuromorphic architecture. Left: The von Neumann architecture used in traditional computers. The red lines depict the data communication bottleneck in the von Neumann architecture. Right: A graphical representation of a general neuromorphic architecture. In this architecture, the processing and memory is decentralized across different neuronal units(the yellow nodes) and synapses(the black lines connecting the nodes), creating a naturally parallel computing environment via the mesh-like structure. (Source: DOI: 10.1109/IS.2016.7737434) [downloaded from https://www.nanowerk.com/spotlight/spotid=62353.php]

Berger offers a very good overview and I recommend reading his February 13, 2023 essay on neuromorphic engineering with one proviso, Note: A link has been removed,

Many researchers in this field see memristors as a key device component for neuromorphic engineering. Memristor – or memory resistor – devices are non-volatile nanoelectronic memory devices that were first theorized [emphasis mine] by Leon Chua in the 1970’s. However, it was some thirty years later that the first practical device was fabricated in 2008 by a group led by Stanley Williams [sometimes cited as R. Stanley Williams] at HP Research Labs.

Chua wasn’t the first as he, himself, has noted. Chua arrived at his theory independently in the 1970s but Bernard Widrow theorized what he called a ‘memistor’ in the 1960s. In fact “Memristors: they are older than you think” is a May 22, 2012 posting which featured an article “Two centuries of memristors” by Themistoklis Prodromakis, Christofer Toumazou and Leon Chua published in Nature Materials.

Most of us try to get it right but we don’t always succeed. It’s always good practice to read everyone (including me) with a little skepticism.

True love with AI (artificial intelligence): The Nature of Things explores emotional and creative AI (long read)

The Canadian Broadcasting Corporation’s (CBC) science television series,The Nature of Things, which has been broadcast since November 1960, explored the world of emotional, empathic and creative artificial intelligence (AI) in a Friday, November 19, 2021 telecast titled, The Machine That Feels,

The Machine That Feels explores how artificial intelligence (AI) is catching up to us in ways once thought to be uniquely human: empathy, emotional intelligence and creativity.

As AI moves closer to replicating humans, it has the potential to reshape every aspect of our world – but most of us are unaware of what looms on the horizon.

Scientists see AI technology as an opportunity to address inequities and make a better, more connected world. But it also has the capacity to do the opposite: to stoke division and inequality and disconnect us from fellow humans. The Machine That Feels, from The Nature of Things, shows viewers what they need to know about a field that is advancing at a dizzying pace, often away from the public eye.

What does it mean when AI makes art? Can AI interpret and understand human emotions? How is it possible that AI creates sophisticated neural networks that mimic the human brain? The Machine That Feels investigates these questions, and more.

In Vienna, composer Walter Werzowa has — with the help of AI — completed Beethoven’s previously unfinished 10th symphony. By feeding data about Beethoven, his music, his style and the original scribbles on the 10th symphony into an algorithm, AI has created an entirely new piece of art.

In Atlanta, Dr. Ayanna Howard and her robotics lab at Georgia Tech are teaching robots how to interpret human emotions. Where others see problems, Howard sees opportunity: how AI can help fill gaps in education and health care systems. She believes we need a fundamental shift in how we perceive robots: let’s get humans and robots to work together to help others.

At Tufts University in Boston, a new type of biological robot has been created: the xenobot. The size of a grain of sand, xenobots are grown from frog heart and skin cells, and combined with the “mind” of a computer. Programmed with a specific task, they can move together to complete it. In the future, they could be used for environmental cleanup, digesting microplastics and targeted drug delivery (like releasing chemotherapy compounds directly into tumours).

The film includes interviews with global leaders, commentators and innovators from the AI field, including Geoff Hinton, Yoshua Bengio, Ray Kurzweil and Douglas Coupland, who highlight some of the innovative and cutting-edge AI technologies that are changing our world.

The Machine That Feels focuses on one central question: in the flourishing age of artificial intelligence, what does it mean to be human?

I’ll get back to that last bit, “… what does it mean to be human?” later.

There’s a lot to appreciate in this 44 min. programme. As you’d expect, there was a significant chunk of time devoted to research being done in the US but Poland and Japan also featured and Canadian content was substantive. A number of tricky topics were covered and transitions from one topic to the next were smooth.

In the end credits, I counted over 40 source materials from Getty Images, Google Canada, Gatebox, amongst others. It would have been interesting to find out which segments were produced by CBC.

David Suzuki’s (programme host) script was well written and his narration was enjoyable, engaging, and non-intrusive. That last quality is not always true of CBC hosts who can fall into the trap of overdramatizing the text.

Drilling down

I have followed artificial intelligence stories in a passive way (i.e., I don’t seek them out) for many years. Even so, there was a lot of material in the programme that was new to me.

For example, there was this love story (from the ‘I love her and see her as a real woman.’ Meet a man who ‘married’ an artificial intelligence hologram webpage on the CBC),

In the The Machine That Feels, a documentary from The Nature of Things, we meet Kondo Akihiko, a Tokyo resident who “married” a hologram of virtual pop singer Hatsune Miku using a certificate issued by Gatebox (the marriage isn’t recognized by the state, and Gatebox acknowledges the union goes “beyond dimensions”).

I found Akihiko to be quite moving when he described his relationship, which is not unique. It seems some 4,000 men have ‘wed’ their digital companions, you can read about that and more on the ‘I love her and see her as a real woman.’ Meet a man who ‘married’ an artificial intelligence hologram webpage.

What does it mean to be human?

Overall, this Nature of Things episode embraces certainty, which means the question of what it means to human is referenced rather than seriously discussed. An unanswerable philosophical question, the programme is ill-equipped to address it, especially since none of the commentators are philosophers or seem inclined to philosophize.

The programme presents AI as a juggernaut. Briefly mentioned is the notion that we need to make some decisions about how our juggernaut is developed and utilized. No one discusses how we go about making changes to systems that are already making critical decisions for us. (For more about AI and decision-making, see my February 28, 2017 posting and scroll down to the ‘Algorithms and big data’ subhead for Cathy O’Neil’s description of how important decisions that affect us are being made by AI systems. She is the author of the 2016 book, ‘Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy’; still a timely read.)

In fact, the programme’s tone is mostly one of breathless excitement. A few misgivings are expressed, e.g,, one woman who has an artificial ‘texting friend’ (Replika; a chatbot app) noted that it can ‘get into your head’ when she had a chat where her ‘friend’ told her that all of a woman’s worth is based on her body; she pushed back but intimated that someone more vulnerable could find that messaging difficult to deal with.

The sequence featuring Akihiko and his hologram ‘wife’ is followed by one suggesting that people might become more isolated and emotionally stunted as they interact with artificial friends. It should be noted, Akihiko’s wife is described as ‘perfect’. I gather perfection means that you are always understanding and have no needs of your own. She also seems to be about 18″ high.

Akihiko has obviously been asked about his ‘wife’ before as his answers are ready. They boil down to “there are many types of relationships” and there’s nothing wrong with that. It’s an intriguing thought which is not explored.

Also unexplored, these relationships could be said to resemble slavery. After all, you pay for these friends over which you have control. But perhaps that’s alright since AI friends don’t have consciousness. Or do they? In addition to not being able to answer the question, “what is it to be human?” we still can’t answer the question, “what is consciousness?”

AI and creativity

The Nature of Things team works fast. ‘Beethoven X – The AI Project’ had its first performance on October 9, 2021. (See my October 1, 2021 post ‘Finishing Beethoven’s unfinished 10th Symphony’ for more information from Ahmed Elgammal’s (Director of the Art & AI Lab at Rutgers University) technical perspective on the project.

Briefly, Beethoven died before completing his 10th symphony and a number of computer scientists, musicologists, AI, and musicians collaborated to finish the symphony.)

The one listener (Felix Mayer, music professor at the Technical University Munich) in the hall during a performance doesn’t consider the work to be a piece of music. He does have a point. Beethoven left some notes but this ’10th’ is at least partly mathematical guesswork. A set of probabilities where an algorithm chooses which note comes next based on probability.

There was another artist also represented in the programme. Puzzlingly, it was the still living Douglas Coupland. In my opinion, he’s better known as a visual artist than a writer (his Wikipedia entry lists him as a novelist first) but he has succeeded greatly in both fields.

What makes his inclusion in the Nature of Things ‘The Machine That Feels’ programme puzzling, is that it’s not clear how he worked with artificial intelligence in a collaborative fashion. Here’s a description of Coupland’s ‘AI’ project from a June 29, 2021 posting by Chris Henry on the Google Outreach blog (Note: Links have been removed),

… when the opportunity presented itself to explore how artificial intelligence (AI) inspires artistic expression — with the help of internationally renowned Canadian artist Douglas Coupland — the Google Research team jumped on it. This collaboration, with the support of Google Arts & Culture, culminated in a project called Slogans for the Class of 2030, which spotlights the experiences of the first generation of young people whose lives are fully intertwined with the existence of AI. 

This collaboration was brought to life by first introducing Coupland’s written work to a machine learning language model. Machine learning is a form of AI that provides computer systems the ability to automatically learn from data. In this case, Google research scientists tuned a machine learning algorithm with Coupland’s 30-year body of written work — more than a million words — so it would familiarize itself with the author’s unique style of writing. From there, curated general-public social media posts on selected topics were added to teach the algorithm how to craft short-form, topical statements. [emphases mine]

Once the algorithm was trained, the next step was to process and reassemble suggestions of text for Coupland to use as inspiration to create twenty-five Slogans for the Class of 2030. [emphasis mine]

I would comb through ‘data dumps’ where characters from one novel were speaking with those in other novels in ways that they might actually do. It felt like I was encountering a parallel universe Doug,” Coupland says. “And from these outputs, the statements you see here in this project appeared like gems. Did I write them? Yes. No. Could they have existed without me? No.” [emphases mine]

So, the algorithms crunched through Coupland’s word and social media texts to produce slogans, which Coupland then ‘combed through’ to pick out 25 slogans for the ‘Slogans For The Class of 2030’ project. (Note: In the programme, he says that he started a sentence and then the AI system completed that sentence with material gleaned from his own writings, which brings to Exquisite Corpse, a collaborative game for writers originated by the Surrealists, possibly as early as 1918.)

The ‘slogans’ project also reminds me of William S. Burroughs and the cut-up technique used in his work. From the William S. Burroughs Cut-up technique webpage on the Language is a Virus website (Thank you to Lake Rain Vajra for a very interesting website),

The cutup is a mechanical method of juxtaposition in which Burroughs literally cuts up passages of prose by himself and other writers and then pastes them back together at random. This literary version of the collage technique is also supplemented by literary use of other media. Burroughs transcribes taped cutups (several tapes spliced into each other), film cutups (montage), and mixed media experiments (results of combining tapes with television, movies, or actual events). Thus Burroughs’s use of cutups develops his juxtaposition technique to its logical conclusion as an experimental prose method, and he also makes use of all contemporary media, expanding his use of popular culture.

[Burroughs says] “All writing is in fact cut-ups. A collage of words read heard overheard. What else? Use of scissors renders the process explicit and subject to extension and variation. Clear classical prose can be composed entirely of rearranged cut-ups. Cutting and rearranging a page of written words introduces a new dimension into writing enabling the writer to turn images in cinematic variation. Images shift sense under the scissors smell images to sound sight to sound to kinesthetic. This is where Rimbaud was going with his color of vowels. And his “systematic derangement of the senses.” The place of mescaline hallucination: seeing colors tasting sounds smelling forms.

“The cut-ups can be applied to other fields than writing. Dr Neumann [emphasis mine] in his Theory of Games and Economic behavior introduces the cut-up method of random action into game and military strategy: assume that the worst has happened and act accordingly. … The cut-up method could be used to advantage in processing scientific data. [emphasis mine] How many discoveries have been made by accident? We cannot produce accidents to order. The cut-ups could add new dimension to films. Cut gambling scene in with a thousand gambling scenes all times and places. Cut back. Cut streets of the world. Cut and rearrange the word and image in films. There is no reason to accept a second-rate product when you can have the best. And the best is there for all. Poetry is for everyone . . .”

First, John von Neumann (1902 – 57) is a very important figure in the history of computing. From a February 25, 2017 John von Neumann and Modern Computer Architecture essay on the ncLab website, “… he invented the computer architecture that we use today.”

Here’s Burroughs on the history of writers and cutups (thank you to QUEDEAR for posting this clip),

You can hear Burroughs talk about the technique and how he started using it in 1959.

There is no explanation from Coupland as to how his project differs substantively from Burroughs’ cut-ups or a session of Exquisite Corpse. The use of a computer programme to crunch through data and give output doesn’t seem all that exciting. *(More about computers and chatbots at end of posting).* It’s hard to know if this was an interview situation where he wasn’t asked the question or if the editors decided against including it.

Kazuo Ishiguro?

Given that Ishiguro’s 2021 book (Klara and the Sun) is focused on an artificial friend and raises the question of ‘what does it mean to be human’, as well as the related question, ‘what is the nature of consciousness’, it would have been interesting to hear from him. He spent a fair amount of time looking into research on machine learning in preparation for his book. Maybe he was too busy?

AI and emotions

The work being done by Georgia Tech’s Dr. Ayanna Howard and her robotics lab is fascinating. They are teaching robots how to interpret human emotions. The segment which features researchers teaching and interacting with robots, Pepper and Salt, also touches on AI and bias.

Watching two African American researchers talk about the ways in which AI is unable to read emotions on ‘black’ faces as accurately as ‘white’ faces is quite compelling. It also reinforces the uneasiness you might feel after the ‘Replika’ segment where an artificial friend informs a woman that her only worth is her body.

(Interestingly, Pepper and Salt are produced by Softbank Robotics, part of Softbank, a multinational Japanese conglomerate, [see a June 28, 2021 article by Ian Carlos Campbell for The Verge] whose entire management team is male according to their About page.)

While Howard is very hopeful about the possibilities of a machine that can read emotions, she doesn’t explore (on camera) any means for pushing back against bias other than training AI by using more black faces to help them learn. Perhaps more representative management and coding teams in technology companies?

While the programme largely focused on AI as an algorithm on a computer, robots can be enabled by AI (as can be seen in the segment with Dr. Howard).

My February 14, 2019 posting features research with a completely different approach to emotions and machines,

“I’ve always felt that robots shouldn’t just be modeled after humans [emphasis mine] or be copies of humans,” he [Guy Hoffman, assistant professor at Cornell University)] said. “We have a lot of interesting relationships with other species. Robots could be thought of as one of those ‘other species,’ not trying to copy what we do but interacting with us with their own language, tapping into our own instincts.”

[from a July 16, 2018 Cornell University news release on EurekAlert]

This brings the question back to, what is consciousness?

What scientists aren’t taught

Dr. Howard notes that scientists are not taught to consider the implications of their work. Her comment reminded me of a question I was asked many years ago after a presentation, it concerned whether or not science had any morality. (I said, no.)

My reply angered an audience member (a visual artist who was working with scientists at the time) as she took it personally and started defending scientists as good people who care and have morals and values. She failed to understand that the way in which we teach science conforms to a notion that somewhere there are scientific facts which are neutral and objective. Society and its values are irrelevant in the face of the larger ‘scientific truth’ and, as a consequence, you don’t need to teach or discuss how your values or morals affect that truth or what the social implications of your work might be.

Science is practiced without much if any thought to values. By contrast, there is the medical injunction, “Do no harm,” which suggests to me that someone recognized competing values. E.g., If your important and worthwhile research is harming people, you should ‘do no harm’.

The experts, the connections, and the Canadian content

It’s been a while since I’ve seen Ray Kurzweil mentioned but he seems to be getting more attention these days. (See this November 16, 2021 posting by Jonny Thomson titled, “The Singularity: When will we all become super-humans? Are we really only a moment away from “The Singularity,” a technological epoch that will usher in a new era in human evolution?” on The Big Think for more). Note: I will have a little more about evolution later in this post.

Interestingly, Kurzweil is employed by Google these days (see his Wikipedia entry, the column to the right). So is Geoffrey Hinton, another one of the experts in the programme (see Hinton’s Wikipedia entry, the column to the right, under Institutions).

I’m not sure about Yoshu Bengio’s relationship with Google but he’s a professor at the Université de Montréal, and he’s the Scientific Director for Mila ((Quebec’s Artificial Intelligence research institute)) & IVADO (Institut de valorisation des données), Note: IVADO is not particularly relevant to what’s being discussed in this post.

As for Mila, the Canada Google blog in a November 21, 2016 posting notes a $4.5M grant to the institution,

Google invests $4.5 Million in Montreal AI Research

A new grant from Google for the Montreal Institute for Learning Algorithms (MILA) will fund seven faculty across a number of Montreal institutions and will help tackle some of the biggest challenges in machine learning and AI, including applications in the realm of systems that can understand and generate natural language. In other words, better understand a fan’s enthusiasm for Les Canadien [sic].

Google is expanding its academic support of deep learning at MILA, renewing Yoshua Bengio’s Focused Research Award and offering Focused Research Awards to MILA faculty at University of Montreal and McGill University:

Google reaffirmed their commitment to Mila in 2020 with a grant worth almost $4M (from a November 13, 2020 posting on the Mila website, Note: A link has been removed),

Google Canada announced today [November 13, 2020] that it will be renewing its funding of Mila – Quebec Artificial Intelligence Institute, with a generous pledge of nearly $4M over a three-year period. Google previously invested $4.5M US in 2016, enabling Mila to grow from 25 to 519 researchers.

In a piece written for Google’s Official Canada Blog, Yoshua Bengio, Mila Scientific Director, says that this year marked a “watershed moment for the Canadian AI community,” as the COVID-19 pandemic created unprecedented challenges that demanded rapid innovation and increased interdisciplinary collaboration between researchers in Canada and around the world.

COVID-19 has changed the world forever and many industries, from healthcare to retail, will need to adapt to thrive in our ‘new normal.’ As we look to the future and how priorities will shift, it is clear that AI is no longer an emerging technology but a useful tool that can serve to solve world problems. Google Canada recognizes not only this opportunity but the important task at hand and I’m thrilled they have reconfirmed their support of Mila with an additional $3,95 million funding grant until 22.

– Yoshua Bengio, for Google’s Official Canada Blog

Interesting, eh? Of course, Douglas Coupland is working with Google, presumably for money, and that would connect over 50% of the Canadian content (Douglas Coupland, Yoshua Bengio, and Geoffrey Hinton; Kurzweil is an American) in the programme to Google.

My hat’s off to Google’s marketing communications and public relations teams.

Anthony Morgan of Science Everywhere also provided some Canadian content. His LinkedIn profile indicates that he’s working on a PhD in molecular science, which is described this way, “My work explores the characteristics of learning environments, that support critical thinking and the relationship between critical thinking and wisdom.”

Morgan is also the founder and creative director of Science Everywhere, from his LinkedIn profile, “An events & media company supporting knowledge mobilization, community engagement, entrepreneurship and critical thinking. We build social tools for better thinking.”

There is this from his LinkedIn profile,

I develop, create and host engaging live experiences & media to foster critical thinking.

I’ve spent my 15+ years studying and working in psychology and science communication, thinking deeply about the most common individual and societal barriers to critical thinking. As an entrepreneur, I lead a team to create, develop and deploy cultural tools designed to address those barriers. As a researcher I study what we can do to reduce polarization around science.

There’s a lot more to Morgan (do look him up; he has connections to the CBC and other media outlets). The difficulty is: why was he chosen to talk about artificial intelligence and emotions and creativity when he doesn’t seem to know much about the topic? He does mention GPT-3, an AI programming language. He seems to be acting as an advocate for AI although he offers this bit of almost cautionary wisdom, “… algorithms are sets of instructions.” (You can can find out more about it in my April 27, 2021 posting. There’s also this November 26, 2021 posting [The Inherent Limitations of GPT-3] by Andrey Kurenkov, a PhD student with the Stanford [University] Vision and Learning Lab.)

Most of the cautionary commentary comes from Luke Stark, assistant professor at Western [Ontario] University’s Faculty of Information and Media Studies. He’s the one who mentions stunted emotional growth.

Before moving on, there is another set of connections through the Pan-Canadian Artificial Intelligence Strategy, a Canadian government science funding initiative announced in the 2017 federal budget. The funds allocated to the strategy are administered by the Canadian Institute for Advanced Research (CIFAR). Yoshua Bengio through Mila is associated with the strategy and CIFAR, as is Geoffrey Hinton through his position as Chief Scientific Advisor for the Vector Institute.

Evolution

Getting back to “The Singularity: When will we all become super-humans? Are we really only a moment away from “The Singularity,” a technological epoch that will usher in a new era in human evolution?” Xenobots point in a disconcerting (for some of us) evolutionary direction.

I featured the work, which is being done at Tufts University in the US, in my June 21, 2021 posting, which includes an embedded video,

From a March 31, 2021 news item on ScienceDaily,

Last year, a team of biologists and computer scientists from Tufts University and the University of Vermont (UVM) created novel, tiny self-healing biological machines from frog cells called “Xenobots” that could move around, push a payload, and even exhibit collective behavior in the presence of a swarm of other Xenobots.

Get ready for Xenobots 2.0.

Also from an excerpt in the posting, the team has “created life forms that self-assemble a body from single cells, do not require muscle cells to move, and even demonstrate the capability of recordable memory.”

Memory is key to intelligence and this work introduces the notion of ‘living’ robots which leads to questioning what constitutes life. ‘The Machine That Feels’ is already grappling with far too many questions to address this development but introducing the research here might have laid the groundwork for the next episode, The New Human, telecast on November 26, 2021,

While no one can be certain what will happen, evolutionary biologists and statisticians are observing trends that could mean our future feet only have four toes (so long, pinky toe) or our faces may have new combinations of features. The new humans might be much taller than their parents or grandparents, or have darker hair and eyes.

And while evolution takes a lot of time, we might not have to wait too long for a new version of ourselves.

Technology is redesigning the way we look and function — at a much faster pace than evolution. We are merging with technology more than ever before: our bodies may now have implanted chips, smart limbs, exoskeletons and 3D-printed organs. A revolutionary gene editing technique has given us the power to take evolution into our own hands and alter our own DNA. How long will it be before we are designing our children?

As the story about the xenobots doesn’t say, we could also take the evolution of another species into our hands.

David Suzuki, where are you?

Our programme host, David Suzuki surprised me. I thought that as an environmentalist he’d point out that the huge amounts of computing power needed for artificial intelligence as mentioned in the programme, constitutes an environmental issue. I also would have expected a geneticist like Suzuki might have some concerns with regard to xenobots but perhaps that’s being saved for the next episode (The New Human) of the Nature of Things.

Artificial stupidity

Thanks to Will Knight for introducing me to the term ‘artificial stupidity’. Knight, a senior writer covers artificial intelligence for WIRED magazine. According to its Wikipedia entry,

Artificial stupidity is commonly used as a humorous opposite of the term artificial intelligence (AI), often as a derogatory reference to the inability of AI technology to adequately perform its tasks.[1] However, within the field of computer science, artificial stupidity is also used to refer to a technique of “dumbing down” computer programs in order to deliberately introduce errors in their responses.

Knight was using the term in its humorous, derogatory form.

Finally

The episode certainly got me thinking if not quite in the way producers might have hoped. ‘The Machine That Feels’ is a glossy, pretty well researched piece of infotainment.

To be blunt, I like and have no problems with infotainment but it can be seductive. I found it easier to remember the artificial friends, wife, xenobots, and symphony than the critiques and concerns.

Hopefully, ‘The Machine That Feels’ stimulates more interest in some very important topics. If you missed the telecast, you can catch the episode here.

For anyone curious about predictive policing, which was mentioned in the Ayanna Howard segment, see my November 23, 2017 posting about Vancouver’s plunge into AI and car theft.

*ETA December 6, 2021: One of the first ‘chatterbots’ was ELIZA, a computer programme developed from1964 to 1966. The most famous ELIZA script was DOCTOR, where the programme simulated a therapist. Many early users believed ELIZA understood and could respond as a human would despite Joseph Weizenbaum’s (creator of the programme) insistence otherwise.

viral symphOny: an electronic soundwork à propos during a pandemic

Artist Joseph Nechvatal has a longstanding interest in viruses, i.e., computer viruses and that work seems strangely apt as we cope with the COVID-19 pandemic. He very kindly sent me some à propos information (received via an April 5, 2020 email),

I wanted to let you know that _viral symphOny_ (2006-2008), my 1 hour 40 minute collaborative electronic noise music symphony, created using custom artificial life C++ software based on the viral phenomenon model, is available to the world for free here:

https://archive.org/details/ViralSymphony

Before you click the link and dive in you might find these bits of information interesting. BTW, I do provide the link again at the end of this post.

Origin of and concept behind the term ‘computer virus’

As I’ve learned to expect, there are two and possibly more origin stories for the term ‘computer virus’. Refreshingly, there is near universal agreement in the material I’ve consulted about John von Neuman’s role as the originator of the concept. After that, it gets more complicated; Wikipedia credits a writer for christening the term (Note: Links have been removed),

The first academic work on the theory of self-replicating computer programs[17] was done in 1949 by John von Neumann who gave lectures at the University of Illinois about the “Theory and Organization of Complicated Automata”. The work of von Neumann was later published as the “Theory of self-reproducing automata”. In his essay von Neumann described how a computer program could be designed to reproduce itself.[18] Von Neumann’s design for a self-reproducing computer program is considered the world’s first computer virus, and he is considered to be the theoretical “father” of computer virology.[19] In 1972, Veith Risak directly building on von Neumann’s work on self-replication, published his article “Selbstreproduzierende Automaten mit minimaler Informationsübertragung” (Self-reproducing automata with minimal information exchange).[20] The article describes a fully functional virus written in assembler programming language for a SIEMENS 4004/35 computer system. In 1980 Jürgen Kraus wrote his diplom thesis “Selbstreproduktion bei Programmen” (Self-reproduction of programs) at the University of Dortmund.[21] In his work Kraus postulated that computer programs can behave in a way similar to biological viruses.

Science fiction

The first known description of a self-reproducing program in a short story occurs in 1970 in The Scarred Man by Gregory Benford [emphasis mine] which describes a computer program called VIRUS which, when installed on a computer with telephone modem dialing capability, randomly dials phone numbers until it hit a modem that is answered by another computer. It then attempts to program the answering computer with its own program, so that the second computer will also begin dialing random numbers, in search of yet another computer to program. The program rapidly spreads exponentially through susceptible computers and can only be countered by a second program called VACCINE.[22]

The idea was explored further in two 1972 novels, When HARLIE Was One by David Gerrold and The Terminal Man by Michael Crichton, and became a major theme of the 1975 novel The Shockwave Rider by John Brunner.[23]

The 1973 Michael Crichton sci-fi movie Westworld made an early mention of the concept of a computer virus, being a central plot theme that causes androids to run amok.[24] Alan Oppenheimer’s character summarizes the problem by stating that “…there’s a clear pattern here which suggests an analogy to an infectious disease process, spreading from one…area to the next.” To which the replies are stated: “Perhaps there are superficial similarities to disease” and, “I must confess I find it difficult to believe in a disease of machinery.”[25]

Scientific American has an October 19, 2001 article citing four different experts’ answer to the question “When did the term ‘computer virus’ arise?” Three of the experts cite academics as the source for the term (usually Fred Cohen). One of the experts does mention writers (for the most part, not the same writers cited in the Wikipedia entry quotation in the above).

One expert discusses the concept behind the term and confirms what most people will suspect. Interestingly, this expert’s origin story varies somewhat from the other three.

Computer virus concept

From “When did the term ‘computer virus’ arise?” (Joseph Motola response),

The concept behind the first malicious computer programs was described years ago in the Computer Recreations column of Scientific American. The metaphor of the “computer virus” was adopted because of the similarity in form, function and consequence with biological viruses that attack the human system. Computer viruses can insert themselves in another program, taking over control or adversely affecting the function of the program.

Like their biological counterparts, computer viruses can spread rapidly and self-replicate systematically. They also mimic living viruses in the way they must adapt through mutation [emphases mine] to the development of resistance within a system: the author of a computer virus must upgrade his creation in order to overcome the resistance (antiviral programs) or to take advantage of new weakness or loophole within the system.

Computer viruses also act like biologics [emphasis mine] in the way they can be set off: they can be virulent from the outset of the infection, or they can be activated by a specific event (logic bomb). But computer viruses can also be triggered at a specific time (time bomb). Most viruses act innocuous towards a system until their specific condition is met.

The computer industry has expanded the metaphor to now include terms like inoculation, disinfection, quarantine and sanitation [emphases mine]. Now if your system gets infected by a computer virus you can quarantine it until you can call the “virus doctor” who can direct you to the appropriate “virus clinic” where your system can be inoculated and disinfected and an anti-virus program can be prescribed.

More about Joseph Nechvatal and his work on viruses

The similarities between computer and biological viruses are striking and with that in mind, here’s a clip featuring part of viral symphOny,

Before giving you a second link to Nechvatal’s entire viral symphOny, here’s some context about him and his work, from the Joseph Nechvatal Wikipedia entry, (Note: Links have been removed),

He began using computers to make “paintings” in 1986 [11] and later, in his signature work, began to employ computer viruses. These “collaborations” with viral systems positioned his work as an early contribution to what is increasingly referred to as a post-human aesthetic.[12][13]

From 1991–1993 he was artist-in-residence at the Louis Pasteur Atelier in Arbois, France and at the Saline Royale/Ledoux Foundation’s computer lab. There he worked on The Computer Virus Project, which was an artistic experiment with computer viruses and computer animation.[14] He exhibited at Documenta 8 in 1987.[15][16]

In 1999 Nechvatal obtained his Ph.D. in the philosophy of art and new technology concerning immersive virtual reality at Roy Ascott’s Centre for Advanced Inquiry in the Interactive Arts (CAiiA), University of Wales College, Newport, UK (now the Planetary Collegium at the University of Plymouth). There he developed his concept of viractualism, a conceptual art idea that strives “to create an interface between the biological and the technological.”[17] According to Nechvatal, this is a new topological space.[18]

In 2002 he extended his experimentation into viral artificial life through a collaboration with the programmer Stephane Sikora of music2eye in a work called the Computer Virus Project II,[19] inspired by the a-life work of John Horton Conway (particularly Conway’s Game of Life), by the general cellular automata work of John von Neumann, by the genetic programming algorithms of John Koza and the auto-destructive art of Gustav Metzger.[20]

In 2005 he exhibited Computer Virus Project II works (digital paintings, digital prints, a digital audio installation and two live electronic virus-attack art installations)[21] in a solo show called cOntaminatiOns at Château de Linardié in Senouillac, France. In 2006 Nechvatal received a retrospective exhibition entitled Contaminations at the Butler Institute of American Art’s Beecher Center for Arts and Technology.[4]

Dr. Nechvatal has also contributed to digital audio work with his noise music viral symphOny [emphasis mine], a collaborative sound symphony created by using his computer virus software at the Institute for Electronic Arts at Alfred University.[22][23] viral symphOny was presented as a part of nOise anusmOs in New York in 2012.[24]

Here’s a link to the complete viral symphOny with his website here and his blog here.

ETA April 7, 2020 at 1135 PT: Joseph Nechvatal’s book review of Gustav Metzger’s collected writings (1953–2016) has just (April 2020) dropped at The Brooklyn Rail here:  https://brooklynrail.org/2020/04/art_books/Gustav-Metzgers-Writings.

Nanotechnology at the movies: Transcendence opens April 18, 2014 in the US & Canada

Screenwriter Jack Paglen has an intriguing interpretation of nanotechnology, one he (along with the director) shares in an April 13, 2014 article by Larry Getlen for the NY Post and in his movie, Transcendence. which is opening in the US and Canada on April 18, 2014. First, here are a few of the more general ideas underlying his screenplay,

In “Transcendence” — out Friday [April 18, 2014] and directed by Oscar-winning cinematographer Wally Pfister (“Inception,” “The Dark Knight”) — Johnny Depp plays Dr. Will Caster, an artificial-intelligence researcher who has spent his career trying to design a sentient computer that can hold, and even exceed, the world’s collective intelligence.

After he’s shot by antitechnology activists, his consciousness is uploaded to a computer network just before his body dies.

“The theories associated with the film say that when a strong artificial intelligence wakes up, it will quickly become more intelligent than a human being,” screenwriter Jack Paglen says, referring to a concept known as “the singularity.”

It should be noted that there are anti-technology terrorists. I don’t think I’ve covered that topic in a while so an Aug. 31, 2012 posting is the most recent and, despite the title, “In depth and one year later—the nanotechnology bombings in Mexico” provides an overview of sorts. For a more up-to-date view, you can read Eric Markowitz’s April 9, 2014 article for Vocative.com. I do have one observation about the article where Markowitz has linked some recent protests in San Francisco to the bombings in Mexico. Those protests in San Francisco seem more like a ‘poor vs. the rich’ situation where the rich happen to come from the technology sector.

Getting back to “Transcendence” and singularity, there’s a good Wikipedia entry describing the ideas and some of the thinkers behind the notion of a singularity or technological singularity, as it’s sometimes called (Note: Links have been removed),

The technological singularity, or simply the singularity, is a hypothetical moment in time when artificial intelligence will have progressed to the point of a greater-than-human intelligence, radically changing civilization, and perhaps human nature.[1] Because the capabilities of such an intelligence may be difficult for a human to comprehend, the technological singularity is often seen as an occurrence (akin to a gravitational singularity) beyond which the future course of human history is unpredictable or even unfathomable.

The first use of the term “singularity” in this context was by mathematician John von Neumann. In 1958, regarding a summary of a conversation with von Neumann, Stanislaw Ulam described “ever accelerating progress of technology and changes in the mode of human life, which gives the appearance of approaching some essential singularity in the history of the race beyond which human affairs, as we know them, could not continue”.[2] The term was popularized by science fiction writer Vernor Vinge, who argues that artificial intelligence, human biological enhancement, or brain-computer interfaces could be possible causes of the singularity.[3] Futurist Ray Kurzweil cited von Neumann’s use of the term in a foreword to von Neumann’s classic The Computer and the Brain.

Proponents of the singularity typically postulate an “intelligence explosion”,[4][5] where superintelligences design successive generations of increasingly powerful minds, that might occur very quickly and might not stop until the agent’s cognitive abilities greatly surpass that of any human.

Kurzweil predicts the singularity to occur around 2045[6] whereas Vinge predicts some time before 2030.[7] At the 2012 Singularity Summit, Stuart Armstrong did a study of artificial generalized intelligence (AGI) predictions by experts and found a wide range of predicted dates, with a median value of 2040. His own prediction on reviewing the data is that there is an 80% probability that the singularity will occur between 2017 and 2112.[8]

The ‘technological singularity’ is controversial and contested (from the Wikipedia entry).

In addition to general criticisms of the singularity concept, several critics have raised issues with Kurzweil’s iconic chart. One line of criticism is that a log-log chart of this nature is inherently biased toward a straight-line result. Others identify selection bias in the points that Kurzweil chooses to use. For example, biologist PZ Myers points out that many of the early evolutionary “events” were picked arbitrarily.[104] Kurzweil has rebutted this by charting evolutionary events from 15 neutral sources, and showing that they fit a straight line on a log-log chart. The Economist mocked the concept with a graph extrapolating that the number of blades on a razor, which has increased over the years from one to as many as five, will increase ever-faster to infinity.[105]

By the way, this movie is mentioned briefly in the pop culture portion of the Wikipedia entry.

Getting back to Paglen and his screenplay, here’s more from Getlen’s article,

… as Will’s powers grow, he begins to pull off fantastic achievements, including giving a blind man sight, regenerating his own body and spreading his power to the water and the air.

This conjecture was influenced by nanotechnology, the field of manipulating matter at the scale of a nanometer, or one-billionth of a meter. (By comparison, a human hair is around 70,000-100,000 nanometers wide.)

“In some circles, nanotechnology is the holy grail,” says Paglen, “where we could have microscopic, networked machines [emphasis mine] that would be capable of miracles.”

The potential uses of, and implications for, nanotechnology are vast and widely debated, but many believe the effects could be life-changing.

“When I visited MIT,” says Pfister, “I visited a cancer research institute. They’re talking about the ability of nanotechnology to be injected inside a human body, travel immediately to a cancer cell, and deliver a payload of medicine directly to that cell, eliminating [the need to] poison the whole body with chemo.”

“Nanotechnology could help us live longer, move faster and be stronger. It can possibly cure cancer, and help with all human ailments.”

I find the ‘golly gee wizness’ of Paglen’s and Pfister’s take on nanotechnology disconcerting but they can’t be dismissed. There are projects where people are testing retinal implants which allow them to see again. There is a lot of work in the field of medicine designed to make therapeutic procedures that are gentler on the body by making their actions specific to diseased tissue while ignoring healthy tissue (sadly, this is still not possible). As for human enhancement, I have so many pieces that it has its own category on this blog. I first wrote about it in a four-part series starting with this one: Nanotechnology enables robots and human enhancement: part 1, (You can read the series by scrolling past the end of the posting and clicking on the next part or search the category and pick through the more recent pieces.)

I’m not sure if this error is Paglen’s or Getlen’s but nanotechnology is not “microscopic, networked machines” as Paglen’s quote strongly suggests. Some nanoscale devices could be described as machines (often called nanobots) but there are also nanoparticles, nanotubes, nanowires, and more that cannot be described as machines or devices, for that matter. More importantly, it seems Paglen’s main concern is this,

“One of [science-fiction author] Arthur C. Clarke’s laws is that any sufficiently advanced technology is indistinguishable from magic. That very quickly would become the case if this happened, because this artificial intelligence would be evolving technologies that we do not understand, and it would be capable of miracles by that definition,” says Paglen. [emphasis mine]

This notion of “evolving technologies that we do not understand” brings to mind a  project that was announced at the University of Cambridge (from my Nov. 26, 2012 posting),

The idea that robots of one kind or another (e.g. nanobots eating up the world and leaving grey goo, Cylons in both versions of Battlestar Galactica trying to exterminate humans, etc.) will take over the world and find humans unnecessary  isn’t especially new in works of fiction. It’s not always mentioned directly but the underlying anxiety often has to do with intelligence and concerns over an ‘explosion of intelligence’. The question it raises,’ what if our machines/creations become more intelligent than humans?’ has been described as existential risk. According to a Nov. 25, 2012 article by Sylvia Hui for Huffington Post, a group of eminent philosophers and scientists at the University of Cambridge are proposing to found a Centre for the Study of Existential Risk,

While I do have some reservations about how Paglen and Pfister describe the science, I appreciate their interest in communicating the scientific ideas, particularly those underlying Paglen’s screenplay.

For anyone who may be concerned about the likelihood of emulating  a human brain and uploading it to a computer, there’s an April 13, 2014 article by Luke Muehlhauser and Stuart Armstrong for Slate discussing that very possibility (Note 1: Links have been removed; Note 2: Armstrong is mentioned in this posting’s excerpt from the Wikipedia entry on Technological Singularity),

Today scientists can’t even emulate the brain of a tiny worm called C. elegans, which has 302 neurons, compared with the human brain’s 86 billion neurons. Using models of expected technological progress on the three key problems, we’d estimate that we wouldn’t be able to emulate human brains until at least 2070 (though this estimate is very uncertain).

But would an emulation of your brain be you, and would it be conscious? Such questions quickly get us into thorny philosophical territory, so we’ll sidestep them for now. For many purposes—estimating the economic impact of brain emulations, for instance—it suffices to know that the brain emulations would have humanlike functionality, regardless of whether the brain emulation would also be conscious.

Paglen/Pfister seem to be equating intelligence (brain power) with consciousness while Muehlhauser/Armstrong simply sidestep the issue. As they (Muehlhauser/Armstrong) note, it’s “thorny.”

If you consider thinkers like David Chalmers who suggest everything has consciousness, then it follows that computers/robots/etc. may not appreciate having a human brain emulation which takes us back into Battlestar Galactica territory. From my March 19, 2014 posting (one of the postings where I recounted various TED 2014 talks in Vancouver), here’s more about David Chalmers,

Finally, I wasn’t expecting to write about David Chalmers so my notes aren’t very good. A philosopher, here’s an excerpt from Chalmers’ TED biography,

In his work, David Chalmers explores the “hard problem of consciousness” — the idea that science can’t ever explain our subjective experience.

David Chalmers is a philosopher at the Australian National University and New York University. He works in philosophy of mind and in related areas of philosophy and cognitive science. While he’s especially known for his theories on consciousness, he’s also interested (and has extensively published) in all sorts of other issues in the foundations of cognitive science, the philosophy of language, metaphysics and epistemology.

Chalmers provided an interesting bookend to a session started with a brain researcher (Nancy Kanwisher) who breaks the brain down into various processing regions (vastly oversimplified but the easiest way to summarize her work in this context). Chalmers reviewed the ‘science of consciousness’ and noted that current work in science tends to be reductionist, i.e., examining parts of things such as brains and that same reductionism has been brought to the question of consciousness.

Rather than trying to prove consciousness, Chalmers proposes that we consider it a fundamental in the same way that we consider time, space, and mass to be fundamental. He noted that there’s precedence for additions and gave the example of James Clerk Maxwell and his proposal to consider electricity and magnetism as fundamental.

Chalmers next suggestion is a little more outré and based on some thinking (sorry I didn’t catch the theorist’s name) that suggests everything, including photons, has a type of consciousness (but not intelligence).

Have a great time at the movie!