Artificial Intelligence and You

What if artificial superintelligence - ASI - could be made both more safe and more profitable? Returning to the show after a year is Craig Kaplan, talking about how "democratic AI" can do that. Craig, who has the website superintelligence.com, is CEO and founder of iQ Company, focused on AGI and ASI. He also founded and ran PredictWallStreet, a financial services firm which used AI to power a top hedge fund. 

Craig is a visiting professor in computer science at the University of California, and earned master’s and doctoral degrees from famed robotics hub Carnegie Mellon University, where he co-authored research with the Nobel-Prize-winning economist and AI pioneer Dr. Herbert A. Simon.

We talk about democratic AI, a kind of a hive mind of AIs that combine to work together safely, and how do they talk to each other, what are they made up of, and we’ll also talk about systems for solving ethical problems. 

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

Transcript and URLs referenced at HumanCusp Blog.

How should AI change democracy? That’s the topic of Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship, and I am continuing my talk with its authors. Bruce Schneier is an internationally renowned security technologist and the bestselling author of fourteen books, including Data and Goliath and A Hacker’s Mind.  Nathan Sanders is a data scientist who has served in fellowships and the Massachusetts legislature and the Berkman-Klein Center at Harvard. He writes in The New York Times and The Atlantic.

We talk about whether wealthy entities might subvert the use of AI in democracy, how smaller countries are engaging with AI in government, the utility of open weight and open source models, digital twins in government, the future of surveillance, and what makes Bruce and Nathan optimistic about the future.

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

Transcript and URLs referenced at HumanCusp Blog.

How should AI change democracy? That’s the topic of Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship, and I am talking today with its authors. Bruce Schneier is an internationally renowned security technologist and the bestselling author of fourteen books, including Data and Goliath and A Hacker’s Mind. He is a lecturer at the Harvard Kennedy School, and a board member of the Electronic Frontier Foundation, and Chief of Security Architecture at Inrupt. Nathan Sanders is a data scientist researching machine learning, astrophysics, public health, environmental justice, and more. He has served in fellowships and the Massachusetts legislature and the Berkman-Klein Center at Harvard. He writes on AI and democracy in The New York Times and The Atlantic.

We talk about this fascinating and scary intersection of AI and government, of AI being used in making legislation, the concept of democracy as an information system, ways AI can transform how citizens engage their governments, regulatory responses to AI from the US and around the world, and how the judicial branch can use AI. 

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

Transcript and URLs referenced at HumanCusp Blog.

What's really going on in classrooms with AI right now? I'm talking with Gerry White, a teacher, technologist, writer, and lifelong learner who has spent two decades at the forefront of education and technology integration. Gerry is the Dean of Academic Technology at ECPI University in Virginia and the founder of MyTutorPlus, an AI-powered tutoring platform designed to personalize education for learners of all ages. From building over 70 apps to creating immersive AR and VR experiences, his work bridges the gap between the humanities and technology. His Substack articles and books unpack the ethical, emotional, and societal consequences of AI.

We talk about how cultural bias in GenAI affects the classroom, what school leadership should be doing, AI in group work, assessment, how AI might accelerate learning and augment the human experience, interactions with parents, and kids’ social uses of AI, all in the context of real experiences in school.

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

Transcript and URLs referenced at HumanCusp Blog.

We're continuing to focus on AI in education because it's so pivotal to the future of the human race. What's really going on in classrooms with AI right now? We are learning that from Gerry White, a teacher, technologist, writer, and lifelong learner who has spent two decades at the forefront of education and technology integration. Gerry is the Dean of Academic Technology at ECPI University in Virginia and the founder of MyTutorPlus, an AI-powered tutoring platform designed to personalize education for learners of all ages. From building over 70 apps to creating immersive AR and VR experiences, his work bridges the gap between the humanities and technology. His Substack articles and books unpack the ethical, emotional, and societal consequences of AI.

We’re going to talk about how generative AI first showed up in Gerry’s classrooms, the importance of preserving students’ voices, confronting the cheating and plagiarism problems, optimal ways of engaging students’ use of AI, and finding the unique value of humans in the workplace, all in the context of real experiences in real classes.

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

Transcript and URLs referenced at HumanCusp Blog.

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.

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 plagiarism, AI-proofing assignments, motivating students, threats to critical thinking, and much more.

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

Transcript and URLs referenced at HumanCusp Blog.

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.