Sharing AI Mistakes: Partnership on AI’s Rebecca Finlay

Sharing AI Mistakes: Partnership on AI’s Rebecca Finlay

Author: MIT Sloan Management Review November 12, 2024 Duration: 41:26
Rebecca Finlay, CEO of Partnership on AI (PAI), believes that artificial intelligence poses risks — and that organizations should learn from one another and help others avoid the same hazards by disclosing the mistakes they’ve made in implementing the technology. In this episode, Rebecca discusses the nonprofit’s work supporting the responsible use of AI, including how it’s incorporating global perspectives into its AI governance efforts. She also addresses the complexities of integrating AI into the workforce and the misleading narrative around the inevitability of AI taking over humans’ jobs. She advocates for a proactive approach to adopting the technology instead, where organizations, policy makers, and workers collaborate to that ensure AI enhances jobs rather than eliminating them. Read the episode transcript here. Guest bio Rebecca Finlay is CEO at Partnership on AI (PAI), a global nonprofit that brings together a cross-sector community of over 100 partners in 17 countries to ensure that developments in artificial intelligence advance positive outcomes for people and society. Working at the intersection of technology and society, Finlay has held leadership roles in civil society, research organizations, and industry. Before joining PAI, she founded global research organization CIFAR’s AI & Society program, one of the first international multi-stakeholder initiatives on the impact of AI in society. Her insights have been featured in books and the media, including the Financial Times, The Guardian, Politico, and Nature Machine Intelligence. She has spoken at venues such as South by Southwest and the U.K. AI Safety Summit. Finlay is a fellow of the American Association for the Advancement of Sciences and sits on advisory bodies in Canada, France, and the U.S. She holds degrees from McGill University and the University of Cambridge. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Ever wondered how some organizations manage to turn artificial intelligence from a buzzword into a genuine engine for growth, while others struggle to move beyond the pilot phase? Me, Myself, and AI, a production from MIT Sloan Management Review, goes straight to the source to find out. Instead of theoretical discussions, this podcast features candid conversations with the people who are actually building and implementing AI systems at scale. You'll hear directly from leaders at prominent companies like YouTube, Cisco, and Hugging Face as they recount their journeys-not just the polished successes, but the real-world challenges, strategic decisions, and sometimes surprising lessons learned along the way. Each episode digs into the practicalities of creating measurable business value, cutting through the noise to reveal what effective AI leadership and integration truly look like. It’s a focused exploration for anyone in technology, business, or education who wants to understand the human and operational stories behind the algorithms. Tune in for an unvarnished look at the future being built, one practical application at a time.
Author: Language: English Episodes: 100

Me, Myself, and AI
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