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

Students using AI to cheat on homework - or being inaccurately flagged as cheating - falls under the heading of 'academic integrity,' so I am talking with Alyson King, Professor in Political Science at Ontario Tech University in Canada, and editor of the new book, “Artificial Intelligence, Pedagogy and Academic Integrity,” containing 12 contributors’ thoughts and research on the problem of maintaining academic integrity in a world where AI can complete virtually any school assignment at a passing grade or higher.

Alyson earned her PhD in the History of Education at the University of Toronto and currently she engages in research intended to better understand student experiences and academic integrity. In her teaching, she includes topics related to Indigenous experiences and worldviews, such as Residential Schools, and has designed a course about the politics of Indigenous Rights.

We’re going to talk about teachers getting to know their students’ voices, AI detectors, and the place of AI in education.

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 again focusing on AI in education, because that is really where the rubber meets the road for nearly every issue in AI and where we need to get it right, because that’s where we’re training the generation that will save the world. You could be very pessimistic about that, but you can also be very optimistic about that, and one person who is optimistic is Becky Keene, an educator, author, and speaker focused on innovative teaching and learning, and author of the new book, AI Optimism, about all the good possibilities of AI in education. She specializes in instructional coaching, game-based learning, and integrating AI into education to empower students as creators.

We talk about the conflict between fear and hope about AI in education, changing our focus from product to process, how to reshape education to leverage AI, what role school leadership should play, and much more.

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/ .

As we use AI more and more as a critical assistant, what might that be doing to our critical thinking? Professor Michael Gerlich has published his research in the paper “AI Tools In Society: Impacts On Cognitive Offloading And The Future Of Critical Thinking” in the journal Societies. He showed that younger participants “exhibited higher dependence on AI tools and lower critical thinking scores compared to older participants.” That’s the sort of result that demands we pay attention at a time when AI is being increasingly used by schools and students.

Michael is the Head of Center for Strategic Corporate Foresight and Sustainability at SBS Swiss Business School. His research and publications largely focus on the societal impact of Artificial Intelligence, which has made him in demand as a speaker around the world. He’s also taught at the London School of Economics and Political Science, Cambridge, and other institutions. He’s also been an adviser to the President and the Prime Minister of Kyrgyzstan, the Uzbekistan Cabinet, and Ministers of economic affairs in Azerbaijan.

In part 2, we talk about whether or how we can tell that our cognition has been impaired, how the future of work will change with cognitive offloading and what employers need to beware of and leverage.

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/ .

As we use AI more and more as a critical assistant, what might that be doing to our critical thinking? Professor Michael Gerlich has published his research in the paper “AI Tools In Society: Impacts On Cognitive Offloading And The Future Of Critical Thinking” in the journal Societies. He showed that younger participants “exhibited higher dependence on AI tools and lower critical thinking scores compared to older participants.” That’s the sort of result that demands we pay attention at a time when AI is being increasingly used by schools and students.

Michael is the Head of Center for Strategic Corporate Foresight and Sustainability at SBS Swiss Business School. His research and publications largely focus on the societal impact of Artificial Intelligence, which has made him in demand as a speaker around the world. He’s also taught at the London School of Economics and Political Science, Cambridge, and other institutions. He’s also been an adviser to the President and the Prime Minister of Kyrgyzstan, the Uzbekistan Cabinet, and Ministers of economic affairs in Azerbaijan.

We talk about “cognitive offloading” and the use of GenAI. Why is it different from using calculators, which were widely forecast to cause math skills to atrophy and were banned from schools, and we since learned better. Michael will look at how AI like the big agents that might come with workplace IT systems help or hinder in knowledge work, and consequences for on-the-job training.

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 book seems to be more timely than originally anticipated." I'm talking with Carl Benedikt Frey about his new book, How Progress Ends: Technology, Innovation, and the Fate of Nations, and its exploration of the political and economic effects of policies like tariffs and university defunding comes at a very critical time. AI is projected to have enormous economic and social impacts that call for the biggest of big picture thinking, and Frey is the co-author of the 2013 study The Future of Employment: How Susceptible Are Jobs to Computerization, which has received over 12,000 citations.

He is Associate Professor of AI and Work at the Oxford Internet Institute and Director and Founder of the Future of Work Programme at the Oxford Martin School, both at the University of Oxford. His 2019 book, The Technology Trap: Capital, Labor, and Power in the Age of Automation, was selected as a Financial Times Best Book of the Year and awarded Princeton University’s Richard A. Lester Prize.

In the conclusion, we talk about the links between innovation and industry productivity, why AI hasn’t yet delivered broad gains, automation’s uneven effects on workers, the role of antitrust in sustaining competition, and the need for institutions like Oxford to adapt.

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 book seems to be more timely than originally anticipated." I'm talking with Carl Benedikt Frey about his new book, How Progress Ends: Technology, Innovation, and the Fate of Nations, and its exploration of the political and economic effects of policies like tariffs and university defunding comes at a very critical time. AI is projected to have enormous economic and social impacts that call for the biggest of big picture thinking, and Frey is the co-author of the 2013 study The Future of Employment: How Susceptible Are Jobs to Computerization, which has received over 12,000 citations.

He is Associate Professor of AI and Work at the Oxford Internet Institute and Director and Founder of the Future of Work Programme at the Oxford Martin School, both at the University of Oxford. His 2019 book, The Technology Trap: Capital, Labor, and Power in the Age of Automation, was selected as a Financial Times Best Book of the Year and awarded Princeton University’s Richard A. Lester Prize.

We talk about whether progress is inevitable, how growth depends on the interplay of technology and institutions, the link between productivity and innovation, the importance of institutional flexibility and decentralized funding, the effects of tariffs, the risks of China’s increasingly centralized model, and why the US and China are both triggering declining dynamism in each other.

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'm talking with Megan Peters, who researches thinking about thinking, or metacognition. She is an Associate Professor in the UC Irvine Department of Cognitive Sciences, studying how the brain represents and uses uncertainty, focusing on how these abilities support metacognitive evaluations of the quality of our decisions. She’s a Fellow in the UCI Center for the Neurobiology of Learning and Memory, the UCI Center for Theoretical Behavioral Sciences, and the Canadian Institute for Advanced Research (CIFAR) Brain Mind & Consciousness program. She’s also President and Co-founder of Neuromatch, an educational platform serving over 30,000 students in over 120 countries across computational neurosciences, deep learning, computational climate science, and neuroAI.

In our conclusion, we talk about Turing Tests, measuring the brain, the Haunted Mansion, some cool experiments on brains, and… cats.

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/ .

Have you ever thought about thinking? That’s called metacognition, and Megan Peters thinks about that, a lot. She is an Associate Professor in the UC Irvine Department of Cognitive Sciences, researching how the brain represents and uses uncertainty, focusing on how these abilities support metacognitive evaluations of the quality of our decisions. She’s a Fellow in the UCI Center for the Neurobiology of Learning and Memory, the UCI Center for Theoretical Behavioral Sciences, and the Canadian Institute for Advanced Research (CIFAR) Brain Mind & Consciousness program. She’s also President and Co-founder of Neuromatch, an educational platform serving over 30,000 students in over 120 countries across computational neurosciences, deep learning, computational climate science, and neuroAI.

We get really meta here: talking about thinking about thinking, how we build models of the world, how language shapes our thinking, whether AI is doing metacognition in its chains of thought, statistical learning in AIs and humans, consciousness in humans and animals and AIs, and theories of consciousness.

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

Transcript and URLs referenced at HumanCusp Blog.