The Road to Accountable AI

The Road to Accountable AI

Por: Kevin Werbach
Artificial intelligence is changing business, and the world. How can you navigate through the hype to understand AI's true potential, and the ways it can be implemented effectively, responsibly, and safely? Wharton Professor and Chair of Legal Studies and Business Ethics Kevin Werbach has analyzed emerging technologies for thirty years, and created one of the first business school course on legal and ethical considerations of AI in 2016. He interviews the experts and executives building accountable AI systems in the real world, today.
56 episodios disponibles

Latest episodes of the podcast The Road to Accountable AI

Mitch Kapor: AI Gap-Closing 04/12/2025
Brad Carson: Sharing AI's Bounty 20/11/2025
Oliver Patel: Sharing Frameworks for AI Governance 13/11/2025
Ravit Dotan: Rethinking AI Ethics 06/11/2025
Trey Causey: Is Responsble AI Failing? 30/10/2025
Caroline Louveaux: Trust is Mission Critical 23/10/2025
Cameron Kerry: From Gridlock to Governance? 16/10/2025
Derek Leben: All of Us are Going to Become Ethicists 09/10/2025
Heather Domin: From Principles to Practice 02/10/2025
Dean Ball: The World is Going to Be Totally Different in 10 Years 25/09/2025
David Hardoon: You Can't Outsource Accountability 18/09/2025
Karine Perset: Building Bridges for Global AI Governance 11/09/2025
DJ Patil: AI's Steering Wheel Challenge 04/09/2025
Kay Firth-Butterfield: Using AI Wisely 26/06/2025
Dale Cendali: How Courts (and Maybe Congress!) Will Determine AI's Copyright Fate 19/06/2025
Brenda Leong: Building AI Law Amid Legal Uncertainty 12/06/2025
Shameek Kundu: AI Testing and the Quest for Boring Predictability 05/06/2025
Uthman Ali: Responsible AI in a Safety Culture 29/05/2025
Karen Hao: Is Imperial AI Inevitable? 22/05/2025
Jaime Banks: How Users Perceive AI Companions 15/05/2025
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