#058 - The World's First AI Ethics Officer Speaks Out with Kay Firth-Butterfield

This week on GAEA Talks, Graeme Scott sits down with Kay Firth-Butterfield - the world's first Chief AI Ethics Officer, former Head of Artificial Intelligence at the World Economic Forum, TIME Magazine 100 Impact Awardee, barrister, former judge, and author of the new book Coexisting with AI: Work, Love, and Play in a Changing World.Kay's career spans law, government, academia and the highest levels of global AI governance. She began as a barrister and part-time judge in the UK before becoming the world's first Chief AI Ethics Officer in 2014. At the World Economic Forum, she served as inaugural Head of AI and member of the Executive Committee, shaping policy at the intersection of technology and society. She sits on the Lord Chief Justice's Advisory Panel on AI and Law, the U.S. Government Accountability Office's Polaris Council, and UNESCO's International Research Centre on AI Advisory Board. She co-founded the Responsible AI Institute at the University of Texas at Austin and is now CEO of Good Tech Advisory and the Centre for Trustworthy Technology. Recognised consistently as a leading woman in AI since 2018, Kay was featured in the New York Times as one of 10 Women Changing the Landscape of Leadership.In this episode, Kay delivers a masterclass in what's actually going wrong with enterprise AI adoption - from the corporate silos that leave companies dangerously exposed, to the hallucination crisis corrupting proprietary data, to the silent erosion of human agency in an age of algorithmic convenience. She challenges the hype head-on, warns why giving AI agents legal personhood would be catastrophic for consumers, and makes a deeply personal case for why humans must remain at the centre of the AI story. This is essential listening for any leader making decisions about AI right now.What you'll take away from this conversation:• Why corporate AI governance is failing - and why operating in silos creates catastrophic blind spots• How LLM hallucinations are quietly corrupting company proprietary data from the insideThe layoff-rehire paradox - why companies like Klarna are learning the hard way about losing institutional knowledge• Why giving AI agents legal personhood would strip consumers of any legal remedy when things go wrong• The IDC prediction that 20% of major companies using AI agents will be sued by 2030• How "AI natives" are entering the workforce unable to debug code or retain core knowledge• Why 25% of American men using AI as intimate companions is creating a workplace crisis no one is talking about• The hidden productivity cost - MIT research showing AI "work slop" forces colleagues to spend hours fixing errors• Why the regulation vs. innovation debate is a false dichotomy built on shallow thinking• Kay's personal cancer journey and why she chose her oncologist over AI - and what that means for augmentation vs. replacement• Why we are being "farmed for our data" and human agency is quietly disappearingThe one thing that gives her hope: US governors from both parties finally pushing back on Big TechLinkedIn: https://www.linkedin.com/in/kay-firth-butterfieldWikipedia: https://en.wikipedia.org/wiki/Kay_Firth-ButterfieldGood Tech Advisory: https://goodtechadvisory.comBook — Coexisting with AI: https://www.amazon.com/Coexisting-AI-Work-Changing-World/dp/1394278101