Is AI destined to replace us, or can it help us thrive? And why are we still stuck in the "wow" phase when we should be asking harder questions about implementation?

Dr Bryan Reimer, research scientist at the MIT Age Lab and co-author of How to Make AI Useful: Moving Beyond the Hype to Real Progress in Business, Society and Life, discusses AI's journey from "wow" to "woah" to "grow", and why most organizations haven't moved past excitement about automation.

Bryan argues the real value of AI isn't replacing human capability through automation, but augmenting it through amplification. The question isn't "what can AI automate?" but "how can AI make humans better at what they do?"

We discuss AI as doer, assistant, and creator, and why the creator role raises the most ethical concerns right now. When machines generate new information, who owns it? Is machine-assisted design copyrightable? AI doesn't invent – it regresses to the mean – so it's "new, but not new."

Bryan shares why AI as assistant is where the real success lies: it leaves ethical responsibility with humans while providing cognitive support. Students aren't just using ChatGPT to write essays, they're using it as an electronic tutor to understand material that wasn't explained clearly in lectures. Education needs to shift from banning AI to teaching both AI-amplified work and fundamental skills.

We explore why "success is toxic" for established organizations struggling with AI adoption, why small start-ups can leapfrog traditional leaders, and how lead adopters are flying so fast that laggard may never catch up. Leadership before modern AI will be fundamentally different from leadership going forward.

Bryan introduces "cathedral thinking" versus "strip mining" in how we need to build AI systems designed to last decades, not just solve today's problems. AI won't automate away the things we love doing: creativity, art, poetry, music. The goal is amplifying human creativity, not replacing it.

Essential listening for anyone navigating AI adoption, wondering whether job loss predictions are overstated, or trying to understand how to make AI actually useful rather than just impressive.

AI Ethics Now

Exploring the ethical dilemmas of AI in Higher Education and beyond.

A University of Warwick IATL Podcast

This podcast series was developed by Dr Tom Ritchie and Dr Jennie Mills, the module leads of the ⁠ at the University of Warwick. The ⁠IATL module ⁠"The AI Revolution: Ethics, Technology, and Society"⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ module explores the history, current state, and potential futures of artificial intelligence, examining its profound impact on society, individuals, and the very definition of 'humanness.'

This podcast was initially designed to provide a deeper dive into the key themes explored each week in class. We want to share the discussions we have had to help offer a broader, interdisciplinary perspective on the ethical and societal implications of artificial intelligence to a wider audience.

Join each fortnight for new critical conversations on AI Ethics with local, national, and international experts.

We will discuss:

• Ethical Dimensions of AI: Fairness, bias, transparency, and accountability
• Societal Implications: How AI is transforming industries, economies, and our understanding of humanity
• The Future of AI: Potential benefits, risks, and shaping a future where AI serves humanity

If you want to join the podcast as a guest, contact Tom.Ritchie@warwick.ac.uk.

What happens when AI is used to analyse human behaviour and relationships, and the output is treated as reliable evidence in a formal process against another person?

Dr Craig Webber, School Lead for the MA in Artificial Intelligence at the University of Southampton, joins the podcast to explore a growing and largely unaddressed risk at the intersection of AI and institutional decision making. Craig introduces a concept with profound implications for anyone who has ever been on the receiving end of a formal process - the confident confabulation.

Large language models don't flag uncertainty. They don't interrogate the premise of the question they're asked. They reflect back whatever narrative they're fed, dressed in language that carries the appearance of authority and expertise.

The result can be devastating. And the frameworks for accountability when it goes wrong are, at best, underdeveloped.

This conversation explores how sycophantic AI reflects back and amplifies the narratives it receives, how AI generated analysis gets laundered into apparently human authored reports, and what it means when confident confabulations enter high stakes processes where people's lives and reputations are at stake.

Craig returns throughout to two words. Legitimacy - does the process that produced this output have any genuine claim to being a reliable account of what actually happened? And accountability - when a confident confabulation causes real harm to a real person, who answers for that? Not the AI. Not the platform. Not the person who fed it the narrative and accepted what it reflected back without question.

Currently, the answer is nobody.

AI Ethics Now

Exploring the ethical dilemmas of AI in Higher Education and beyond.

A University of Warwick IATL Podcast

This podcast series was developed by Dr Tom Ritchie and Dr Jennie Mills, the module leads of the ⁠ at the University of Warwick. The IATL module ⁠"The AI Revolution: Ethics, Technology, and Society"⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ module explores the history, current state, and potential futures of artificial intelligence, examining its profound impact on society, individuals, and the very definition of 'humanness.'

This podcast was initially designed to provide a deeper dive into the key themes explored each week in class. We want to share the discussions we have had to help offer a broader, interdisciplinary perspective on the ethical and societal implications of artificial intelligence to a wider audience.

Join each fortnight for new critical conversations on AI Ethics with local, national, and international experts.

We will discuss:

• Ethical Dimensions of AI: Fairness, bias, transparency, and accountability
• Societal Implications: How AI is transforming industries, economies, and our understanding of humanity
• The Future of AI: Potential benefits, risks, and shaping a future where AI serves humanity

If you want to join the podcast as a guest, contact Tom.Ritchie@warwick.ac.uk.

What happens when AI use among university students doubles in a single year and institutions are still catching up?

To mark the launch of Coursera's 2026 AI on Campus Report, Marni Baker Stein, Chief Content Officer, and Jack Moran, Global Enterprise PR Manager, join me to discuss the findings. With nearly half of UK students now using AI to complete their study tasks and 80% reporting improved grades, the data raises urgent questions about what we are actually measuring when we talk about academic success in an AI-augmented world.

This conversation explores whether better grades signal deeper learning or simply more polished outputs, why the race to detect AI-generated work is one institutions are already losing, and what it would mean to genuinely redesign assessment for an AI-enabled generation. Marni and Jack also make a compelling case that AI, if intentionally designed, has the potential to strengthen belonging and reduce equity gaps rather than widen them, pointing to evidence from Coursera's own platform that underserved learners are among the most active users of AI tutoring tools.

We discuss the tension between student enthusiasm and educator anxiety, why fewer than a third of UK universities have a formal AI policy despite the scale of adoption, and what it means for institutions to move from reactive policies to proactive frameworks that put faculty confidence and student equity at the centre.

AI Ethics Now

Exploring the ethical dilemmas of AI in Higher Education and beyond.

A University of Warwick IATL Podcast

This podcast series was developed by Dr Tom Ritchie and Dr Jennie Mills, the module leads of the ⁠ at the University of Warwick. The AI Revolution module explores the history, current state, and potential futures of artificial intelligence, examining its profound impact on society, individuals, and the very definition of 'humanness.'

This podcast was initially designed to provide a deeper dive into the key themes explored each week in class. We want to share the discussions we have had to help offer a broader, interdisciplinary perspective on the ethical and societal implications of artificial intelligence to a wider audience.

Join each fortnight for new critical conversations on AI Ethics with local, national, and international experts.

We will discuss:

• Ethical Dimensions of AI: Fairness, bias, transparency, and accountability.
• Societal Implications: How AI is transforming industries, economies, and our understanding of humanity.
• The Future of AI: Potential benefits, risks, and shaping a future where AI serves humanity.

If you want to join the podcast as a guest, contact Tom.Ritchie@warwick.ac.uk.