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This and all episodes at: https://aiandyou.net/ . I have been talking about how we reshape education to serve teens in an AI-transformed world with Rebecca Winthrop, co-author of the book The Disengaged Teen: Helping Kids Learn Better, Feel Better, and Live Better and leader of the Brookings Institution Global Task Force on AI in Education. Rebecca is a senior fellow and director of their Center for Universal Education, with a PhD in education from Columbia. She advises governments and other international institutions and has served as the chair of the U.N. Secretary General’s Global Education First Initiative’s Technical Advisory Group. In our conclusion, Rebecca tells us how she tested her book on her own kids, engagement archetypes in students, ways of increasing their engagement and the value of actual essays, comparing teaching systems and expectations between Asia and the West, the effects of social media and smartphones, and the prospects for entry-level jobs. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . I’ve talked many times in the past about AI being less like the introduction of a new technology and more like the introduction of an alien species to our planet. We’re going to talk about another alien species today: teenagers. I have teen and tween girls of my own, so this is personal. And to guide us through that is Rebecca Winthrop, co-author of the book The Disengaged Teen: Helping Kids Learn Better, Feel Better, and Live Better and leader of the Brookings Institution Global Task Force on AI in Education. She is a senior fellow and director of their Center for Universal Education, with a PhD in education from Columbia, and researching education globally, with special attention to the skills young people need to thrive in work, life, and as constructive citizens. She advises governments, international institutions, foundations, civil society organizations, and corporations on education issues and has served as the chair of the U.N. Secretary General’s Global Education First Initiative’s Technical Advisory Group. I may have used a frivolous line at the start there but the topic is anything but. Teenagers are on the front lines of humanity’s engaging with the effects of AI, and they feel it first and hardest. We talk about whether teens’ reaction is resilience or denial, how they’re using AI, what triage for AI in education looks like, positive uses of AI in schools but also the cheating problem and how schools are dealing with that, safeguarding kids’ use of AI, and how assessment should change. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . I have been talking with Ruchir Puri, the Chief Scientist of IBM Research, about their strategy and his take on many things related to AI. Ruchir is also Vice-President of IBM Corporate Technology and Technical Community. He led IBM Watson as its CTO and Chief Architect from 2016-19 and is a Fellow of the IEEE, and has been an ACM Distinguished Speaker, an IEEE Distinguished Lecturer, and holder of the John Von Neumann Chair at the Institute of Discrete Mathematics at Bonn University in Germany. He holds over 70 US patents and has authored over 120 scientific papers. In our interview conclusion, we talk about Watson, and what happened with using it in medicine right after its Jeopardy! win, and the current state of Watson in governance and generative AI, Ruchir’s term and definition of Artificial Useful Intelligence, his invention of CodeNet, what it means for AI to write software and an amazing potential future of that, and the prospects for entry-level positions for computer science graduates and Ruchir’s advice to them. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . In all the news about and focus on startups like OpenAI and Anthropic, there’s a long-established player that doesn’t get as many soundbites but which deserves our attention: IBM. It’s important to understand what their current strategy and thinking is. And I have just the person to do that: Ruchir Puri, the Chief Scientist of IBM Research, and Vice-President of IBM Corporate Technology and Technical Community. He led IBM Watson as its CTO and Chief Architect from 2016-19 and is a Fellow of the IEEE, and has been an ACM Distinguished Speaker, an IEEE Distinguished Lecturer, and was honored with John Von-Neumann Chair at Institute of Discrete Mathematics at Bonn University, Germany. Notably from our point of view, he is an inventor of over 70 US patents and has authored over 120 scientific papers, which lands him squarely in the technical perspective that we value so much on this show.  We talk about the continuing importance of the foundation of computer science, which is algorithms, the tension between the deterministic nature of algorithms and the more touchy-feely variability of generative AI interfaces, what that means for reliability and verifiability, how best to think about Gen AI, the history of IBM’s big AI projects like Watson and Deep Blue, and IBM’s ambitions in quantum computing and the role of AI in that. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . I have been talking with Maurice Chiodo, Assistant Research Professor at the Centre for the Study of Existential Risk at the University of Cambridge, about his new paper titled Reframing AI Loss of Control: What Control Is, How to Have It, How to Lose It and everything that control of AI and loss of it means. Maurice is the principal investigator of the Ethics in Mathematics Project, holds two PhDs in mathematics, from Cambridge and the University of Melbourne, and has over a decade of experience working as an academic mathematician. 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. In this conclusion of the interview we talk about AI in wartime decision making, the mechanics of real-time detection of loss of control, the problems with putting a human in the loop, and some of the most serious scenarios of loss of control. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . 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.

This and all episodes at: https://aiandyou.net/ . 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.

This and all episodes at: https://aiandyou.net/ . 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.

This and all episodes at: https://aiandyou.net/ . 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.

This and all episodes at: https://aiandyou.net/ . 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.

This and all episodes at: https://aiandyou.net/ . 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.

This and all episodes at: https://aiandyou.net/ . 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.

This and all episodes at: https://aiandyou.net/ . 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.

This and all episodes at: https://aiandyou.net/ . This week I am talking with Rana Gujral, author of the new book The AI Instinct: The Future of AI and Human Decision-Making, a deeply thoughtful, expansive, and philosophical book, like its author. Rana 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. We talk about Rana’s idea of artificial general experience, whether we need AI with persistent memory and universal awareness, whether AGI needs a physical experience of the world - what we call a world model – and what video generation models reveal about that, the role of empathy, whether AGI will come through an understanding that we consciously design or through emerging from a sufficiently complex general design, whether we ourselves are stochastic parrots, and AI as augmenting vs replacing human judgement. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We're looking at whether AI is bubbling, popping, jumping the shark, or otherwise outstaying its welcome. I'll explore the Hype Curve, the two dimensions of the Jagged Frontier to keep in mind when tracking AI technologies along that curve, what drives backlash and why it's inevitable, and the state of expectations met or unmet across key sectors, getting into specific activity in the financial, educational, and regulatory spheres. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.