As longtime Torment Nexus readers probably know, I have a minor obsession with the topic of artificial intelligence engines and consciousness — in part because such discussions inevitably reveal how little we know about human consciousness, let alone the machine kind. What is consciousness? Where does it reside? How does it emerge? How do we know that Atlantic writer Ted Chiang is conscious, let alone anyone else? And so on. If this isn’t your jam, I completely understand, and if you stop reading and move on, I will not be offended at all (but come back later!) I know that some people feel AI consciousness is a dead end, and that large-language models like Claude and Gemini and ChatGPT are just “stochastic parrots” or souped-up autocomplete tools that stole all their intelligence from others, and that talking about them being conscious or becoming conscious is like wondering if your toaster misses you when you are at work — and that those who discuss it, like Richard Dawkins did, have lost their minds or are the victims of “AI derangement syndrome.” I get that. I am not one of those people.
I’m not saying I believe that AI engines like Claude or ChatGPT are conscious or even that I think they will become conscious! But at the same time, I’m not saying they aren’t or won’t. David Chalmers, a professor of philosophy and neural science at New York University and a prominent researcher in the field of AI consciousness, told New York magazine recently that the odds have gotten significantly higher that an AI could be conscious — in 2023 he said the probability was around 10 per cent. “I don’t know if I’d say that these systems are conscious yet,” Chalmers said, but “people who are confident that they’re not conscious maybe shouldn’t be. We just don’t understand consciousness well enough, and we don’t understand these systems well enough.” Chalmers and Yoshua Bengio — who worked with Geoffrey Hinton and Yann LeCun on the development of neural networks — have written a paper that concludes that based on various criteria current AI engines are not conscious but future ones could be.
In the world of consciousness research, as I understand it, there are a (large) number of different models of how consciousness might work in human beings — or anywhere else, for that matter — and how we might find evidence of it working, or at least see the signs of it in operation. One of the most popular is called Global Workspace Theory or GWT, and it was developed by cognitive neuroscientist Bernard Baars in the 1980s. In a nutshell (and I am paraphrasing and condensing significantly here) this theory of consciousness suggests that the human brain operates a little like a theater where a play is being performed. Backstage, in the dark, there is a huge amount of unconscious work happening — things like regulating your breathing, recognizing visual input, retrieving memories, and so on. The stage is a kind of global workspace, where if a piece of data is important enough, it is shoved into the spotlight so that the rest of the brain can have access to it, and this is the foundation of consciousness.
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