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

Mostrando página 2 de 3

Kelly Trindel: AI Governance Across the Enterprise? All in a Day's Work 08/05/2025
David Weinberger: How AI Challenges Our Fundamental Ideas 01/05/2025
Ashley Casovan: From Privacy Practice to AI Governance 24/04/2025
Lauren Wagner: The Potential of Private AI Governance 17/04/2025
Medha Bankhwal and Michael Chui: Implementing AI Trust 10/04/2025
Eric Bradlow: AI Goes to Business School 03/04/2025
Wendy Gonzalez: Managing the Humans in the AI Loop 12/12/2024
Jessica Lennard: AI Regulation as Part of a Growth Agenda 05/12/2024
Tim O'Reilly: The Values of AI Disclosure 21/11/2024
Alice Xiang: Connecting Research and Practice for Responsible AI 14/11/2024
Krishna Gade: Observing AI Explainability...and Explaining AI Observability 07/11/2024
Angela Zhang: What's Really Happening with AI (and AI Governance) in China 31/10/2024
Shae Brown: AI Auditing Gets Real 24/10/2024
Kevin Bankston: The Value of Open AI Models 17/10/2024
Lara Abrash: How Organizations Can Meet the AI Challenge 10/10/2024
Adam Thierer: Where AI Regulation Can Go Wrong 03/10/2024
Reggie Townsend: The Deliberate and Intentional Path to Trustworthy AI 26/09/2024
Helen Toner: AI Safety in a World of Uncertainty 19/09/2024
See you in September for Season 2! 18/07/2024
Nuala O'Connor: Frontline Human-Machine Interface at Walmart 11/07/2024
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