Responsible AI from The AI Forum

Antitrust has gone from sleepy specialty to front-page news, and Jennifer Dixton, antitrust law professor at UCLA and a veteran Justice Department enforcer, explains why. She and host Alex Alben work through the Paramount–Warner Bros. merger challenge led by California and twelve other states, the novel independent editorial board in the proposed settlement, and what the 1940s Hollywood consent decrees can teach us about today’s streaming deals.We look at Big Tech breakups and how they rarely actually happen, free products and the quality they quietly lose, shared pricing algorithms, and the question of whether AI companies can collaborate on safety without inviting an antitrust suit. Can frontier AI companies collaborate on safety protocols without running afoul of antitrust law? Jennifer’s answer draws on DOJ business reviews of COVID-era collaborations and on open, industry-led standard setting. The episode closes in the classroom, where she is swapping take-home papers for think-on-your-feet exercises, and where she notes that despite AI’s abilities, “you still have to know the basics as a lawyer.”

Who gets to decide what counts as safety? Why have we normalized an ecosystem of surveillance? And when does convenience become dangerous indulgence? Julia Powles, executive director of UCLA’s Institute for Technology, Law and Policy, talks with host Alex Alben about the underlying harms of “safety theater,” including mass surveillance, invasive data collection, and attention-driven business models—largely untouched.In this episode of Responsible AI, you’ll discover:Why AI in entertainment is really a battle over labor, copyright, and the value of human craft.How sports technology collects enormous volumes of biometric data with little protection for athletes.Why sports betting and predictive markets are creating a new layer of risk for young people.What “safety theater” means and why compliance checks often miss the real harm.Why age-verification systems can be invasive, inaccurate, and privacy-invasive by design.How mass surveillance becomes normalized through the language of safety and convenience.We also dig into the limits of surveillance-based policy, the failure to measure actual outcomes in child safety, and why courts and regulators keep gravitating toward superficial fixes instead of root causes like business models built on attention extraction.Julia makes the case that if we do not track real-world impact, we will keep optimizing for appearances while communities absorb the costs.Chapters02:20 Building an interdisciplinary AI policy institute04:58 Labor, creative work, and automation12:53 Athlete surveillance and biometric data17:52 Sports betting, gambling, and public harm22:36 Safety theatre and the limits of surveillance27:50 Child online safety and measuring real outcomes30:39 Why age-gating can create new privacy risks35:21 Meta’s youth-safety settlement and platform incentives40:04 Delivery drones and the “indulgence economy”44:49 Community power and choosing our tech future

AI is colliding with the next election in ways most people are not prepared for. Professor Richard Hasen breaks down the legal and democratic fault lines that could shape who counts the votes, who controls the rules, and how much damage disinformation can do before anyone realizes it. We unpack ballot seizures, executive power over mail-in voting, election litigation, and the structural vulnerabilities that make American elections uniquely exposed.Hasen also explains how AI-generated video, watermarking, and the “liar’s dividend” could make it harder for voters to know what is real. The conversation explores voting rights, the Electoral College, local journalism, and practical ways to strengthen public trust without giving government a censorship weapon. If you care about democracy, elections, disinformation, or AI’s role in all of them, this episode offers a clear-eyed view—and a reason to stay optimistic.Chapters01:50 The Safeguarding Democracy Project02:19 Incidents of Ballot Seizures and Threats to Elections03:23 Risks of Ballot Seizures and Judicial Involvement04:45 Potential Impact of Narrow Election Wins07:41 Mail-in Ballots and Partisan Strategies10:38 Decentralized Election System and Federal Laws15:14 Need for a Constitutional Right to Vote17:26 Challenges in Amending the Constitution for Voting Rights19:55 Potential Court Packing and Judicial Politics20:55 Reforming the Electoral College and Voting System24:37 Disinformation, Cheap Speech, and Media Challenges29:30 AI, Deep Fakes, and Election Misinformation36:33 Media's Role in Democracy and Public Trust37:58 Optimism and Future Directions for Democracy

Dr. Michelle Kassorla, professor at Georgia State University's Perimeter College, remembers November 30, 2022, as an existential jolt—the moment ChatGPT made her wonder if English professors still had a job. Instead of retreating, she built a new pedagogy around AI, from Socratic tutoring to an inverted version of Bloom's Taxonomy that treats remembering, not creating, as the pinnacle of learning. Her favorite historical parallel is the Luddites: the industrial loom ended hand-spun cloth, but it also built the entire fashion industry in its place.Michelle talks with Alex Alben about teaching writing with AI instead of against it, why every disruptive technology tends to spin off jobs nobody saw coming, and what a childhood encounter with red harvester ants taught her about facing down things that scare you: "If you're afraid of something, the only thing that you can do is learn more about it."Chapters01:19 AI Literacy: A New Frontier in Education05:50 The Existential Jolt of AI in Academia10:37 Teaching Writing with AI: A New Approach16:57 Radical Formative Assessment in AI Education22:26 Learning from the Luddites: The Historical Context of AI and Writing24:41 The Evolution of Artisan Work in the Age of AI27:02 Understanding Human Uniqueness in Creative Work31:03 Redefining Education: The Role of AI in Learning36:22 Inverting Bloom's Taxonomy for Modern Education41:01 Embracing Change: The Push-Pull Theory of Technology45:29 Confronting Fears: Learning from the Red Harvester Ant

What does it mean to "hallucinate" if you're a machine? And why do we call it that in the first place?In this episode of Responsible AI, host Alex Alben sits down with Dr. Moti Mizrahi, Professor of Philosophy at the Florida Institute of Technology and author of Playing God with Emerging Technologies: How to Avoid the Traps of Techno Optimism and Techno Pessimism (Bloomsbury). Dr. Mizrahi's research focuses on how we talk about AI and how that language shapes the way we use it and trust it. His team has been studying media coverage of AI products and found that journalists routinely borrow anthropomorphic language straight from tech company press releases, describing systems as "thinking," "reasoning," and "feeling." That's both imprecise and ethically consequential. When we're primed to see chatbots as human-like, we form attachments, extend unwarranted trust, and may even develop what Dr. Mizrahi calls "unhealthy, addictive relationships" with these products.The episode digs into why this happens: human beings are wired to anthropomorphize. We name our cars. We talk to our pets. And when a tech company calls its product "Claude," gives it a warm conversational voice, and programs it to respond using first-person pronouns, it's making a deliberate design choice that plays directly into that psychology. Dr. Mizrahi argues these choices should be made consciously, with ethical guardrails, before a product reaches the public, not discovered through real-world trial and error.Short on time? Fast-forward to 21:40 to listen to Dr. Mizrahi's discussion of the academic paper titled "ChatGPT Is Bullshit," where "bullshit" is a precise philosophical term drawn from Harry Frankfurt's landmark 2005 essay. Unlike lying, which requires caring about the truth, bullshitting involves a fundamental indifference to it. The argument is that LLMs, which predict statistically plausible responses rather than verified ones, fit this definition more accurately than the gentler, and more humanizing, term "hallucination."We also explore the "extended mind thesis,” the idea that our smartphones and AI tools may function as extensions of our cognition, and whether LLMs can qualify as reliable epistemic authorities. Throughout, Dr. Mizrahi champions a middle path, neither cheerleading for AI nor catastrophizing about it, and makes a compelling case that philosophy is exactly the right discipline for navigating this moment.Chapters01:03 Exploring Anthropomorphism in AI06:35 The Ethics of AI Design and User Interaction11:22 The Nature of Human-AI Relationships16:46 Understanding AI's Limitations and Reliability21:40 On AI Bullshit and Existential Risk27:19 The Future of Technology Ethics32:18 Reflections on AI's Impact38:57 Navigating the AI Discourse: Beyond Boom and Doom40:04 The Importance of Responsible AI Conversations

There are 58 counties in the United States with zero lawyers. Marc Miller thinks that's a surprise, and that creating more access requires rethinking almost everything about how we train, license, and deploy legal professionals. As former dean of the University of Arizona James E. Rogers College of Law, Marc helped build the first Bachelor of Arts in Law in the U.S., expanded access through flexible online master's programs, and worked with the Arizona Supreme Court to create a new class of limited-practice legal professionals who can serve the communities big law has never reached.In this episode of Responsible AI, host Alex Alben and Miller range across some of the thorniest questions in American law: Is the bar exam a measure of competence or a restraint on trade? What is the trial penalty, and why should every citizen care that 95–98% of felonies never see a trial? And what happens when AI enters a profession already struggling to serve the people who need it most? Miller's answer: "Getting law students to think differently about using AI to provide a much wider range of basic legal services to people who now cannot afford them—that is a challenge where law schools need to think very differently about what they do."The episode ends somewhere unexpected: with a set of haikus that Claude generated after Miller told it a first draft was, frankly, trash. Here’s a preview, and a pretty good rule for anyone working with AI in a legal setting:The case looks so real. Perfect citation, wrong world. Check, check again, check.CHAPTERS01:44 Mark Miller's Innovative BA in Law10:01 Expanding Access to Legal Education13:36 Reimagining Law School Curriculum17:38 The Impact of AI on Legal Practice20:16 Legal Paraprofessionals and Access to Justice23:13 Rethinking the Bar Exam23:48 Vetting Lawyers: A New Approach26:07 The Bar Exam: Rethinking Competency28:07 Access to Justice: The Lawyer's Role31:01 Understanding the Trial Penalty32:32 AI in Law: A Transformative Force40:56 Four Legal Haikus from Claude

Most lawyers fear AI is coming for their jobs. Nishat Ruiter flips that script, revealing how human skills—like intuition, collaboration, and moral courage—are the real superpowers in the age of automation. Spoiler: AI can't read the room or reimagine justice, and that's what makes us irreplaceable.On this episode of the Responsible AI podcast, Nishat, General Counsel of TED, unpacks her groundbreaking TEDLaw initiative—an in-person training curriculum designed to reshape legal education with reflective, innovative thinking. You'll discover how they’re teaching lawyers to reimagine their roles, develop critical thinking, cultural competency, and even craft their own mission statements for working with AI. She shares insights from global surveys, lessons from behavioral science, and her vision for a legal profession fueled by purpose rather than fear. We break down the five pillars of TEDLaw’s curriculum—professional identity, cultural competency, critical thinking, intuitive collaboration, and moral responsibility—and how these skills can transform lawyers into leaders, not just code consumers. Nishat also discusses the importance of ethical AI use, cultivating a compliance culture, and how lawyers can be more intentional, reflective, and connected in their practice.Chapters1:49 AI's Role in Modern Law6:27 The Human Touch: Legal Practice Beyond AI7:17 Exploring the TEDLaw Initiative13:09 Legal Curriculum Redefined19:57 Equipping Lawyers for AI Integration28:27 Ethical Frontiers: AI and Legal Responsibility37:24 Navigating AI in Legal Education

This week we explore the intersection of artificial intelligence and human identity with Rabbi David Wolpe, offering a unique perspective on the ethical and spiritual challenges we face. Drawing on Jewish legends, he compares AI to the Golem, a creation that "both threatens you, but also, does unbelievable service to you that nothing normal could do." As the conversation unfolds, Rabbi Wolpe addresses the pursuit of life extension and the preservation of knowledge, questioning whether these advancements align with the natural cycle of life. He suggests that "dying is part of life, and it's part of making way for other people and other creations to come along," prompting a reflection on the balance between innovation and nature.We also engage with the deeper questions of how AI influences our internal lives and communities. Rabbi Wolpe warns, "We're losing the value and priority of the internal life because so much of our lives are lived on display." This episode offers a compelling exploration of how technology reshapes our world and challenges us to redefine what it means to be human.Chapters01:10 Exploring the Golem: AI in Jewish Legend03:40 The Existential Threat of AI07:22 AI in Personal and Spiritual Contexts10:31 The Tower of Babel: Competing AI Models13:54 Humanity as Designers: The God Analogy17:18 The Paradox of Life Extension19:43 The Obsession with Recording Life23:01 Discovering Identity in a Digital Age25:43 The Role of Prayer in Introspection27:54 Kabbalah, Mysticism, and Chatbots32:49 Learning from Stories and Human Experience

In this episode of the Responsible AI Podcast, journalist Austin Jenkins reveals how state legislatures are outpacing Congress in the race to regulate AI. As Jenkins notes, "State legislators are very motivated to pass laws because this is what they were elected to do." From California's chatbot laws to Illinois' anti-discrimination efforts, states are taking bold steps to address AI's societal impacts. Discover how these local initiatives are setting the stage for national policy and what it means for the future of technology governance. Tune in to explore the dynamic interplay between state innovation and federal inaction.HighlightsThis is the third year of state AI regulation—what’s happening now and why it matters.California’s SB 243 and the deepfake drama.Why industry keeps pushing back and how states are still ahead of Washington (and the feds).The European EU AI Act vs. the US politics of innovation—who’s winning the race?Can journalism survive in the age of AI—should young reporters learn coding or storytelling?What’s next? Predictions for the AI legal landscape over the next five years—spoiler: more local laws, fewer big ones.Chapters01:09 Austin Jenkins: A Journalist's Journey03:36 The State of AI Regulation07:11 Chatbot Regulation and Child Safety09:34 State vs. Federal Regulation Dynamics12:57 Industry Influence on AI Legislation16:20 Deepfakes and Political Advertising18:01 Children's Safety and Social Media Regulation20:14 Algorithmic Discrimination and Employment23:46 Private Right of Action in AI Regulation26:16 Comparing US and EU AI Regulation29:16 The Future of AI Regulation32:40 The Role of AI in Journalism

Most people think AI governance is a debate for sci-fi fans and politicians. Historian and futurist Nils Gilman shows why that’s a mistake. In this conversation with Alex Alben, Nils breaks down why AI chatbots should carry legal privileges similar to therapists—and why laws like California’s new AI regulations are just the beginning. He shares how AI companies might actually welcome regulation because it creates barriers for newcomers and explains why the global internet of tomorrow might look more like a messy patchwork of siloed nations—unless we embrace a planetary governance model.You'll discover:The reasons why AI chatbots could soon have the same privacy protections as doctors or lawyers.How current laws are shaping (or missing) the future of responsible AI, with real-world examples like California’s 2026 law.The concept of Planetary Subsidiarity—an innovative framework for managing global environmental and tech challenges across borders.And how Silicon Valley’s “organic intellectuals” are shaping the narrative around AI—without much regulation or oversight.With our world on the edge of a Balkanized internet, and AI’s potential to transform every job from law to medicine, this episode peels back the layers of AI’s impact on society.Plus, Nils reminds us that creating the future isn’t about prediction—it’s about intentional action, imagination, and maybe a little science fiction. Ready to think past the headlines? Hit play.Chapters01:31 Nils Gilman: Historian and Futurist02:22 The Privacy Rights of AI Users04:18 California's Companion Chatbot Law8:44 The Intersection of Virtual Reality and AI10:50 Governance of Technology: Who Should Lead?13:11 Planetary Subsidiarity and Governance Models17:35 The Role of Technocrats in Governance 19:51 The Optimism-Pessimism Divide in AI23:11 Finding Hope in Dark Times24:26 Is AI General Purpose Technology?31:06 Gramsci and Organic Intellectuals in Silicon Valley35:13 The Regulatory Landscape37:26 Futurism and Science Fiction40:45 Creating a Better Future Through Vision