Artificial Intelligence and You

The use of generative AI in legal practice has been in the news since lawyers filed briefs written by AI that contained completely fictional citations. But AI has moved past those faux pas to be of real benefit, used by some judges in writing their decisions. Here with his finger on that pulse is Adam Unikowsky, partner in the Appellate & Supreme Court practice group at Jenner & Block in Washington, DC.  He handles cases in numerous subject matter areas, including administrative law, and patent law.  He has argued 12 cases in the U.S. Supreme Court, as well as numerous cases in federal courts of appeals, federal district courts, and state supreme courts. He writes a newsletter on AI in law and other legal issues. Adam graduated from Harvard Law School and clerked for Justice Antonin Scalia.

We talk about how AI could litigate or even judge cases, and whether it should, how it can emulate specific judges, the current uptake, reliability, and reputation of AI in the legal profession, the best ways to use AI in litigation and what’s driving its adoption, something AI can do that humans can’t, how politics comes in, the future roles of litigators and AI’s effects on the apprenticeship of lawyers, AI in the appellate system, and upcoming innovation in AI and the law. 

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

Transcript and URLs referenced at HumanCusp Blog.

My guest has fundamentally reshaped the landscape of digital technology. Your experience of the Internet owes a large part of its identity to Tim O’Reilly, the founder, CEO, and Chairman of O’Reilly Media, the company that has been providing the picks and shovels of learning to the Silicon Valley gold rush for the past thirty-five years, a platform that has connected and informed the people at ground zero of the online revolution since before there was a World Wide Web, through every medium from books to blogs. And the man behind that company has catalyzed and promoted the great thought movements that shaped how the digital world unfolded, such as Open Source, the principle of freedom and transparency in sharing the code that makes up the moving parts of that world, notably through the Open Source Conference which was like Woodstock for developers and ran from the beginning of that era for many years and which I personally presented at many times. Named by Inc. magazine as the “Oracle of Silicon Valley,” Tim created the term “Web 2.0” to denote the shift towards the era where users like you and me participate by creating our own content, which turned into social media and which is now just part of the digital water we swim in. His 2017 book, WTF: What’s the Future and Why It’s Up to Us explores the technological forces on our world and how to harness them for a better future.

We talk about the effects of generative AI on our work processes, what AI does to the value model of accessing information, meme stocks in the new economy, AGI, and preference alignment and market influencing leading to collective intelligence. Really.

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

Transcript and URLs referenced at HumanCusp Blog.

My guest has fundamentally reshaped the landscape of digital technology. Your experience of the Internet owes a large part of its identity to Tim O’Reilly, the founder, CEO, and Chairman of O’Reilly Media, the company that has been providing the picks and shovels of learning to the Silicon Valley gold rush for the past thirty-five years, a platform that has connected and informed the people at ground zero of the online revolution since before there was a World Wide Web, through every medium from books to blogs. And the man behind that company has catalyzed and promoted the great thought movements that shaped how the digital world unfolded, such as Open Source, the principle of freedom and transparency in sharing the code that makes up the moving parts of that world, notably through the Open Source Conference which was like Woodstock for developers and ran from the beginning of that era for many years and which I personally presented at many times. Named by Inc. magazine as the “Oracle of Silicon Valley,” Tim created the term “Web 2.0” to denote the shift towards the era where users like you and me participate by creating our own content, which turned into social media and which is now just part of the digital water we swim in. His 2017 book, WTF: What’s the Future and Why It’s Up to Us explores the technological forces on our world and how to harness them for a better future.

We talk about intellectual property rights in the generative AI era – Taylor Swift will make an appearance again - and Tim’s conversations with Sam Altman, parallels with the evolution of Linux, comparing incentives with social media, the future of content generating work, and opportunities for entrepreneurial flowering.

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

Transcript and URLs referenced at HumanCusp Blog.

How do our brains produce thinking? My guest is an expert in cognitive neuroscience, the field that aims to answer that question. Paul Reber is professor of psychology at Northwestern University, Director of Cognitive and Affective Neuroscience, and head of the Brain, Behavior, and Cognition program, focusing on human memory—how the brain encodes, stores, and retrieves information. With a PhD from Carnegie Mellon, his work has been cited over 6,000 times. He has served as Associate Editor for the journal Cortex and contributed to NIH review panels. His recent projects explore applications of memory science in skill training and cognitive aging. If we want to build AI that reproduces human intelligence, we need to understand that as well as possible.

In part 2, we talk about how to memorize something like a TED talk, the difference between human and computer memory, how humans make memories more resilient, catastrophic interference, and just how big is the human brain and can we fill it up?

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

Transcript and URLs referenced at HumanCusp Blog.

How do our brains produce thinking? My guest is an expert in cognitive neuroscience, the field that aims to answer that question. Paul Reber is professor of psychology at Northwestern University, Director of Cognitive and Affective Neuroscience, and head of the Brain, Behavior, and Cognition program, focusing on human memory—how the brain encodes, stores, and retrieves information. With a PhD from Carnegie Mellon, his work has been cited over 6,000 times. He has served as Associate Editor for the journal Cortex and contributed to NIH review panels. His recent projects explore applications of memory science in skill training and cognitive aging. If we want to build AI that reproduces human intelligence, we need to understand that as well as possible.

In part 1, we talk about distinguishing neuroscience from cognitive neuroscience, the physical structure of the brain, how we learn physical skills, comparing the brain to AI, and foundational problems in neuroscience.

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

Transcript and URLs referenced at HumanCusp Blog.

On the recent wrap-up/predictions panel we had so much fascinating discussion about AI in religion with panelist Beth Singler that I said we should have her back on the show by herself to talk about that, so here she is!

Beth is the Assistant Professor in Digital Religions and co-lead of the Media Existential Encounters and Evolving Technology Lab at the University of Zurich, where she leads projects on religion and AI. As an anthropologist, her research addresses the human, religious, cultural, social, and ethical implications of developments in AI and robotics.  She received the 2021 Digital Religion Research Award from the Network for New Media, Religion, and Digital Culture Studies. Her popular science communication work includes a series of award-winning short documentaries on AI. She is co-editor of the Cambridge Companion to Religion and AI, and author of Religion and AI: An Introduction, both published last year. 

In part 2, we talk about Roko’s Basilisk, which is a concept that changes your life the moment you find out what it is, experiences of AI saying that it’s a God, the reverse Garland test (that’s based on ex Machina), simulation theories starting with Plato’s Cave, more chatbot priests, how Beth does research, and… Battlestar Galactica.

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

Transcript and URLs referenced at HumanCusp Blog.

On the recent wrap-up/predictions panel we had so much fascinating discussion about AI in religion with panelist Beth Singler that I said we should have her back on the show by herself to talk about that, so here she is!

Beth is the Assistant Professor in Digital Religions and co-lead of the Media Existential Encounters and Evolving Technology Lab at the University of Zurich, where she leads projects on religion and AI. As an anthropologist, her research addresses the human, religious, cultural, social, and ethical implications of developments in AI and robotics.  She received the 2021 Digital Religion Research Award from the Network for New Media, Religion, and Digital Culture Studies. Her popular science communication work includes a series of award-winning short documentaries on AI. She is co-editor of the Cambridge Companion to Religion and AI, and author of Religion and AI: An Introduction, both published last year. 

In part 1, we talk about why religion and AI is a thing and what its dimensions are, the influence of science fiction, tropes like End Times, AI used in religious roles, and the Singularity.

Transcript and URLs referenced at HumanCusp Blog.

Continuing our exploration of AI in education, I am joined by Nick Potkalitsky, founder of Pragmatic AI Solutions and co-author of AI in Education: A Roadmap For Teacher-Led Transformation. With a doctorate in narrative and rhetorical studies, he leads AI curriculum integration at The Miami Valley School and develops pioneering AI literacy programs. His Substack “Educating AI” offers curriculum guidance and expert insights.

We talk about how AI has landed emotionally for teachers, whether there’s a generational divide in the different reactions teachers have had to AI, how students are using AI tools and the homework problem, the changing landscape of policies in schools, how university requirements are evolving, and the teacher-led transformation of education that Nick foresees.

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

Transcript and URLs referenced at HumanCusp Blog.