Artificial Intelligence and You

With so much talk about the need to control AI, and notable incidents of losing control of it, like the OpenAI/HuggingFace incident among others, we will do a deep dive on what control or loss of control of AI means with the help of Maurice Chiodo, Assistant Research Professor at the Centre for the Study of Existential Risk at the University of Cambridge, and the principal investigator of the Ethics in Mathematics Project, where he addresses the ethical challenges and risks posed by mathematics, mathematicians, and mathematically-powered technologies. Maurice holds two PhDs in mathematics, from the University of Cambridge and the University of Melbourne, and has over a decade of experience working as an academic mathematician on problems in algebra and computability theory. He has direct industry experience with over 30 startups, having been a member of the Ethics Advisory Group at Machine Intelligence Garage UK for over 2 years. But his recent paper titled Reframing AI Loss of Control: What Control Is, How to Have It, How to Lose It, forms the main reason for our interview.

We talk about ethical issues in mathematics and whether there should be a Hippocratic oath for mathematicians, AI’s impact on mathematics in solving previously unsolved problems, how to define control and losing it (using sharks as an example), and the difference between operational, tactical, and strategic goals. 

All this plus our usual look at today's AI headlines!

Transcript and URLs referenced at HumanCusp Blog.

We are back on the consciousness train again, trying to understand what that thing is. So I've been talking with Joscha Bach, renowned cognitive scientist who uses the lens of artificial intelligence to understand the human mind. He has taught and researched at Humboldt University of Berlin, the Institute for Cognitive Science in Osnabrück, the Berlin School of Mind and Brain, MIT’s Media Lab and the Harvard Program for Evolutionary Dynamics. He’s the creator of the MicroPsi cognitive architecture, the author of Principles of Synthetic Intelligence, and the executive director of the California Institute for Machine Consciousness.

We conclude by talking about how to know if something is conscious, the role of memory, what Joscha thinks of Integrated Information Theory, applying the Turing Test to LLMs and whether they’re entitled to rights, substrate independence, or the portability of consciousness from one platform to another, the possibility of making a conscious AI, and the geopolitics of doing so. 

All this plus our usual look at today's AI headlines!

Transcript and URLs referenced at HumanCusp Blog.

We are back on the consciousness train again, trying to understand what that thing is. Most of us would cop to being conscious, but how many of us have any idea how to describe it, let alone test for it? Here to help with that is Joscha Bach, cognitive scientist, AI researcher, and philosopher who uses the lens of artificial intelligence to understand the human mind. He has taught and researched at Humboldt University of Berlin, the Institute for Cognitive Science in Osnabrück, the Berlin School of Mind and Brain, MIT Media Lab and the Harvard Program for Evolutionary Dynamics. He’s the creator of the MicroPsi cognitive architecture and the author of Principles of Synthetic Intelligence. At Intel Labs, he led a team for cognitive AI. He is currently the executive director of the California Institute for Machine Consciousness where he draws on computer science, neuroscience, psychology, and philosophy to ask how minds construct reality, how consciousness might emerge from computation, and what AI can teach us about ourselves.

We talk about the Institute’s mission, the machine consciousness hypothesis, why we actually are in a particular kind of simulation, dreaming, the role of perceptions and predictions, and a fascinating take on the Chinese Room.

All this plus our usual look at today's AI headlines!

Transcript and URLs referenced at HumanCusp Blog.

The idea of AI posing an existential risk to the human race is kind of like the Terminator itself – it just keeps coming back. We'll look at some of the history of that issue, how attitudes towards it have waxed and waned over the years, and recent events where AIs have escaped their containers and the reactions - or lack thereof - to those incidents. What should we take away from this slow-motion train wreck and what should we do about it?

All this plus our usual look at today's AI headlines!

Transcript and URLs referenced at HumanCusp Blog.

What is AI doing to medicine? Specifically, in molecular biology, and protein folding: figuring out the 3-D structure of proteins. Remember DeepMind's AlphaFold and the announcement of it predicting 200 million protein structures?

I'm talking with one of the top researchers in the world, Professor Mohammed AlQuraishi of Columbia University’s Department of Systems Biology, and a member of their Program for Mathematical Genomics. He heads a lab focused on biological perspectives at the molecular and systems levels. He has an MS in statistics and a PhD in genetics from Stanford University and was a Departmental Fellow at Harvard Medical School.

We conclude by talking about how the advent of AlphaFold landed in the protein folding community; how AI is about to transform molecular biology and scientific experimentation; the possibility of simulating a cell; OpenFold, Mohammed’s answer to the closed source parts of AlphaFold; and his vision for the next 10 years of the field.

All this plus our usual look at today's AI headlines!

Transcript and URLs referenced at HumanCusp Blog.

What is AI doing to medicine? Specifically, in molecular biology, and protein folding: figuring out the 3-D structure of proteins, which look like the output of a pasta-making machine on LSD. Remember DeepMind's AlphaFold and the announcement of it predicting 200 million protein structures?

I have questions. And here to answer them is one of the top researchers in the world, Professor Mohammed AlQuraishi of Columbia University’s Department of Systems Biology, and a member of their Program for Mathematical Genomics. He heads a lab focused on biological perspectives at the molecular and systems levels. He has an MS in statistics and a PhD in genetics from Stanford University and was a Departmental Fellow at Harvard Medical School. As if that wasn’t enough, before this storied academic career, he founded two startups in the mobile computing space. 

We talk about Mohammed’s background in molecular biology, the big goals of that field and his North Star of understanding biology well enough to simulate it; why I haven’t yet seen the kind of revolutionary impact I was expecting from AlphaFold, what it means for a protein to fold and why it’s a big deal and how AlphaFold and similar models work at figuring that out.

All this plus our usual look at today's AI headlines!

Transcript and URLs referenced at HumanCusp Blog.

If you’ve joined us in the last three years, you may not have ever scrolled back to look at the episodes of the show that aired before you came along. But every time I look back over them, I am struck by how much of the content is not just relevant, but deeply valuable. That’s fairly amazing in a world where AI goes through a fundamental change every quarter. Career advice like, “Become a prompt engineer” was once cutting edge and now is quaint and pointless. But we’ve always gone much deeper than that kind of flavor of the month. And so, to give you an idea of why it’s worth going back to episodes that aired even years ago, I’m going to list the episodes we’ve done since the last retrospective like this – which was a bit too long ago, it was episode 100 – and something interesting about each episode which will hopefully whet your appetite for scrolling back far enough to find it.

All this plus our usual look at today's AI headlines!

Transcript and URLs referenced at HumanCusp Blog.

I am in the throes of interviewing Rana Gujral, who is CEO of Behavioral Signals, creating systems that infer intent, emotion, and deception risk from voice, deployed in application from financial services to defense. He has a TEDx talk with a million views, has keynoted at the World Government Summit and World Economic Forum, and was named Most Influential CEO by CEO Monthly. He is also author of the new book The AI Instinct: The Future of AI and Human Decision-Making, which is a much more philosophically deep work than I had been expecting, and we are discussing it at length.

We talk about hybrid minds – humans plus AI – and Rana’s framework of model for those, and how to manage governance of a company that’s using hybrid minds, incorporating Rana’s idea of a synthetic empathy layer for AI and how to manage the boundaries between human and AI control, and where we need to make sure we continue to be challenged, and finally AI consciousness and how to integrate these high level concepts into an AI-forward business.

All this plus our usual look at today's AI headlines!

Transcript and URLs referenced at HumanCusp Blog.