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.