From Kinesiology to AI Pioneer: Tim Mousel is Rewiring Higher Ed Through Real-World Problem Solving

Is AI Taking Over? The Truth About AGI Decentralization - June 4, 2026 AI Update

In this June 4 AI update, the AI x Higher Ed Podcast explores the accelerating pace of model releases, new claims about recursive self-improvement, and the growing sense that AGI conversations are moving from speculation to near-term strategy. The episode also examines the trillion-dollar valuation race among AI companies, NVIDIA’s massive robotics vision, new AI hardware moves, and the tension between AI bans and AI adoption across higher education.The discussion turns to major institutional contrasts, from Berkeley Law’s restrictive AI policy to the University of Chicago’s push to teach students how to “think with machines.” The episode also covers AI’s role in research, copyright disputes, Hollywood and music disruption, AI consciousness debates, public backlash, and emerging political proposals for distributing AI-generated wealth.

Can We Stop AI from Destroying Education? | David Rettinger

David A. Rettinger, applied professor and undergraduate program director in psychology at the University of Tulsa, joins the AI x Higher Ed podcast to discuss academic integrity, learning, and assessment in the age of generative AI. As co-author of The Opposite of Cheating, David brings together insights from cognitive science, decision science, teaching and learning, and honor systems to explore why cheating happens, how AI is changing assessment, and what higher education can do next.The conversation covers why academic integrity should be understood as a teaching and learning challenge rather than simply a rule-enforcement problem; how relationships, trust, and student motivation shape ethical behavior; why traditional assessment models are under pressure from AI; and how faculty can redesign learning experiences around process, oral assessment, experimentation, and authentic demonstrations of understanding.David also previews his keynote for the Reimagining the Liberal Arts in the Age of AI conference at the University of Mary Washington: “The Opposite of Cheating: Teaching for Integrity in the Age of AI.”Chapters00:00 – Introduction to David A. Rettinger01:12 – Previewing “The Opposite of Cheating” keynote03:20 – Writing for impact beyond traditional academic publishing05:35 – Connecting cognitive science, teaching, and academic integrity09:15 – How faculty learn to teach and how students learn integrity12:25 – Honor codes, student ownership, and the role of campus culture16:45 – Why large-scale assessment struggles in the AI era19:30 – Cheating as normal human behavior22:40 – Moral disengagement, motivation, and why students break rules26:45 – Reframing integrity as learning, not just rule-following30:10 – Starting with learning objectives in AI-era course design34:35 – Cognitive offloading, AI use, and what students still need to learn39:20 – Why process matters more than the final paper44:15 – Designing assessments that reveal learning48:00 – Experimentation, failure, and rethinking grades52:25 – Scaling challenges and the future of assessment design57:10 – Oral assessment, conversation, and knowing what students understand1:02:45 – What AI can and cannot do in ethical decision-making1:08:10 – Cheating, creativity, and changing definitions of misconduct1:13:30 – Designing systems that align students’ interests with learning1:16:45 – Where to find David’s work1:18:00 – Closing thoughtsLearn more about David Rettinger, Tricia Bertram Gallant, and The Opposite of Cheating:https://theoppositeofcheating.com#AIxHigherEdPodcast #ArtificialIntelligence #HigherEducation #AcademicIntegrity #TeachingAndLearning #GenerativeAI #AIinEducation #Assessment #LiberalArts #EdTech #FacultyDevelopment

AI Update: Are We Prepared for the Next Leap in Intelligence?

Are we getting closer to AGI—and is higher education ready for what comes next?In this AI x Higher Ed update, we unpack the latest signals from AI leaders including Demis Hassabis, Sundar Pichai, Sam Altman, and others on AGI timelines, agentic AI, scientific breakthroughs, and the idea of intelligence becoming a utility like electricity.The conversation then turns to a major new intervention from Pope Leo XIV: a sweeping encyclical on artificial intelligence, human dignity, education, leadership, communication, and the urgent need for society to prepare. We explore why this document matters far beyond religious communities and why its message may be especially important for schools, colleges, universities, parents, and policymakers.From AI agents and blockbuster IPOs to curriculum disruption and the future role of teachers, this episode asks what it would mean to stop treating AI as a classroom tool and start treating it as a civilization-shaping force.Chapters00:00 – Are We Getting Closer to AGI?02:10 – Demis Hassabis, Google I/O, and AGI Timelines04:45 – Sundar Pichai’s More Cautious View06:28 – Gemini Solves Erdős Problems: Breakthrough or AGI?09:32 – Why Advanced Math Performance Is Not AGI12:22 – Demis Hassabis on 2030, 2029, and the Next Wave of Agents16:05 – Agentic AI as a Practice Run for What Comes Next20:10 – SpaceX, OpenAI, Anthropic, and the Coming IPO Wave23:48 – How IPOs Could Shape AI Strategy and Adoption27:40 – Google, DeepMind, and Accelerating Science31:15 – Sam Altman and Intelligence as a Utility35:20 – Why AI Could Transform Society Like Electricity39:10 – Pope Leo XIV’s Encyclical on AI44:30 – Why This Document Matters Beyond Religion49:15 – Christopher Olah, Anthropic, and Moral Oversight54:00 – AI, Human Dignity, and the Question of Consciousness1:00:20 – Education as a Central Concern1:06:10 – Why Current School AI Guidance Falls Short1:12:00 – Curriculum, Assessment, and the Role of Teachers1:18:25 – Building Awareness and Preparing Institutions1:23:15 – Human Capacities Beyond Intelligence1:28:45 – Communication, Dialogue, and Shared Meaning1:33:20 – Universities and the Integration of Knowledge1:38:40 – Parents, Schools, and the Limits of Individual Responsibility1:44:30 – Why Society Needs Alliances Around AI1:50:10 – Rejecting Fatalism: Our Choices Still Matter1:56:00 – Final Reflections: Start Preparing Now#aixhigheredpodcast #AI #AGI #HigherEd #AIEducation #ArtificialIntelligence #AIxHigherEd #FutureOfWork #AIAgents #EdTech #GoogleDeepMind #OpenAI #Anthropic #Podcast

Will AI Take Your Job? Rich Brown on the Future of Work

Marine veteran, entrepreneur, and nonprofit leader Rich Brown joins the AI x Higher Ed Podcast for a wide-ranging conversation on Agentic AI, leadership, education, and what it means to prepare students for a rapidly changing future.Rich shares how he has been using AI agents across business, nonprofit work, curriculum design, executive protection, and even personal communication. Rather than treating AI as a shortcut, Rich describes it as a force multiplier: a tool that can help people move faster, think more deeply, refine their ideas, and solve meaningful problems.The conversation explores why education must move beyond simply banning or permitting AI and instead focus on process, judgment, iteration, and student agency. Rich also discusses the Service Leadership Academy, a program designed to help high school students develop self-awareness, team leadership, conflict navigation, and community problem-solving skills. The result is a conversation about AI that is ultimately about people: how we lead, how we learn, and how we prepare for a world where the ability to solve problems may matter more than any single career path.

Why This Scholar Is Warning Colleges About AI Implementation - Dr. Theresa Burriss, May 18, 2026

In this thoughtful and wide-ranging conversation, Dr. Theresa Burriss joins the AI x Higher Ed Podcast to explore what authenticity means in the age of artificial intelligence. Drawing from philosophy, Appalachian studies, environmental justice, and decades of teaching experience, Dr. Burriss reflects on how AI challenges our assumptions about voice, creativity, learning, and human connection.The discussion moves from existentialism and storytelling to AI literacy, environmental impacts of data centers, representation of marginalized communities in generative models, and the enduring importance of the liberal arts. Throughout the episode, Dr. Burus argues for embracing tension rather than eliminating it — recognizing AI as both a powerful tool and a profound disruptor that requires ethics, critical thinking, and deeply human conversations.