Regulating AI: Innovate Responsibly

Sanjay Puri
Regulating AI: Innovate Responsibly

Welcome to the Regulating AI: Innovate Responsibly podcast with host and AI regulation expert Sanjay Puri. Sanjay is a pivotal leader at the intersection of technology, policy and entrepreneurship and explores the intricate landscape of artificial intelligence governance on this podcast. You can expect thought-provoking conversations with global leaders as they tackle the challenge of regulating AI without stifling innovation. With diverse perspectives from industry giants, government officials and civil liberty proponents, each episode explores key questions and actionable steps for creating a balanced AI-driven world. Don't miss this essential guide to the future of AI governance, with a fresh episode available every week!

  1. The Future of Open-Source AI and Its Global Implications with Professor S. Alex Yang, Professor of Management Science and Operations, London Business School

    12월 3일

    The Future of Open-Source AI and Its Global Implications with Professor S. Alex Yang, Professor of Management Science and Operations, London Business School

    The rapid rise of AI brings both extraordinary potential and profound risks, demanding urgent global collaboration to ensure its safe development. In this episode, I’m joined by Professor S. Alex Yang, Professor of Management Science and Operations at the London Business School, to explore the complexities of regulating AI, the challenges of international collaboration, and the potential existential risks posed by AI development. With his extensive experience in AI and risk management, Professor Yang provides unique insights into the future of AI governance. Key Takeaways: (02:12) Professor Yang’s early AI experiences and his value chain research. (06:57) The biggest risks from AI, including existential risk and job displacement. (11:42) The debate on AI nationalism and the preservation of cultural heritage. (16:28) How China’s chip-making capacity could reshape AI competition. (21:13) Open-source versus closed-source AI models and the risks involved. (25:58) Why monitoring monopolies in AI is crucial for innovation. (30:44) How content creators can benefit from AI and how copyright law is evolving. (35:29) The importance of fair use standards for AI-generated content. (40:14) Data aggregation and its future role in AI development. (45:00) Professor Yang’s final thoughts on the need for agile, principle-based AI regulation. Resources Mentioned: Professor S. Alex Yang - https://www.linkedin.com/in/songayang/ London Business School | LinkedIn - https://www.linkedin.com/school/london-business-school/ London Business School | Website - https://www.london.edu/?utm_source=google&utm_medium=ppc&utm_campaign=MC_BRBRAND_ppc_google&sc_camp=760e17bef14a4b399386ef32e55393a8&gad_source=1&gclid=Cj0KCQjwo8S3BhDeARIsAFRmkON1oXbsOVjQ73dCIwrvngSGSF0PBYwWGVKRtCdil8ptF2vmAzcW7lEaAvCxEALw_wcB&gclsrc=aw.ds WorldCoin - https://worldcoin.org/ The Case for Regulating Generative AI Through Common Law - https://www.project-syndicate.org/commentary/european-union-ai-act-could-impede-innovation-by-s-alex-yang-and-angela-huyue-zhang-2024-02 Generative AI and Copyright: A Dynamic Perspective - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4716233 Thanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #AIRegulation #AISafety #AIStandard

    48분
  2. Overcoming the Cultural Clash Between AI Innovation and Data Privacy with Norman Sadeh, Professor of Computer Science, Co-Founder and Co-Director, Privacy Engineering Program, Carnegie Mellon University

    11월 19일

    Overcoming the Cultural Clash Between AI Innovation and Data Privacy with Norman Sadeh, Professor of Computer Science, Co-Founder and Co-Director, Privacy Engineering Program, Carnegie Mellon University

    AI presents endless opportunities, but its implications for privacy and governance are multifaceted. On this episode, I’m joined by Professor Norman Sadeh, a Computer Science Professor at Carnegie Mellon University, and Co-Founder and Co-Director of the Privacy Engineering Program. With years of experience in AI and privacy, he offers valuable insights into the complexities of AI governance, the evolving landscape of data privacy and why a multidisciplinary approach is vital for creating effective and ethical AI policies. Key Takeaways: (02:09) How Professor Sadeh’s work in AI and privacy began. (05:30) Privacy engineers are in AI governance. (08:45) Why AI governance must integrate with existing company structures. (12:10) The challenges of data ownership and consent in AI applications. (15:20) Privacy implications of foundational models in AI. (18:30) The limitations of current regulations like GDPR in addressing AI concerns. (22:00) How user expectations shape the principles of AI governance. (26:15) The growing debate around the need for specialized AI regulations. (30:40) The role of transparency in AI governance for building trust. (35:50) The potential impact of open-source AI models on security and privacy. Resources Mentioned: Professor Norman Sadeh - https://www.linkedin.com/in/normansadeh/ Carnegie Mellon University | LinkedIn - https://www.linkedin.com/school/carnegie-mellon-university/ Carnegie Mellon University | Website - https://www.cmu.edu/ EU AI Act - https://artificialintelligenceact.eu/ General Data Protection Regulation (GDPR) - https://gdpr-info.eu/ Thanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #AIRegulation #AISafety #AIStandard

    41분

소개

Welcome to the Regulating AI: Innovate Responsibly podcast with host and AI regulation expert Sanjay Puri. Sanjay is a pivotal leader at the intersection of technology, policy and entrepreneurship and explores the intricate landscape of artificial intelligence governance on this podcast. You can expect thought-provoking conversations with global leaders as they tackle the challenge of regulating AI without stifling innovation. With diverse perspectives from industry giants, government officials and civil liberty proponents, each episode explores key questions and actionable steps for creating a balanced AI-driven world. Don't miss this essential guide to the future of AI governance, with a fresh episode available every week!

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