This episode of the AI Governance Podcast features James Ong. James is the Founder of the Singapore-based AI International Institute, Co-Author of “AI for Humanity: Building A Sustainable AI for the Future," and has bridged the divides between scientists, policymakers and investors for over 35 years. James joined Enzai’s Var Shankar to discuss: - The silver lining from the Paris AI Safety Summit - The need to develop fields of AI other than generative AI - How Asian countries can best contribute to global AI norms - How sustainable AI is built on the three pillars governance, technology, and commercialization - How to navigate incentives between scientists, startups, and investors
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24:01
The AI Policy Agenda going into Paris with Kristina Podnar
This episode of the AI Governance Podcast features Kristina Podnar. Kristina is the author of The Power of Digital Policy, Senior Policy Director at the Data & Trust Alliance and a digital policy advisor to boards and executives of private, non-profit and public sector organizations. Kristina joined Enzai’s Var Shankar to discuss: - outcomes to expect from Paris AI Action Summit - why publicly owned AI is essential - how to insulate publicly owned AI from politics - why policymakers should focus on specific issues, like using AI to fight climate change and combating nonconsensual deepfakes, in addition to more general AI risks - how organizations should adopt agentic and open-source systems amid regulatory uncertainty
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25:57
The Management-Based Approach with Cary Coglianese
This episode of the AI Governance Podcast features Cary Coglianese. Cary is the Edward B. Shils Professor of Law and Professor of Political Science and the founding Director of the Penn Program on Regulation at the University of Pennsylvania, the author of seven books on administrative law and regulatory policy and a leading expert on regulatory models for AI. Cary joined Enzai’s Var Shankar to discuss: - regulatory principles for AI, given the extreme heterogeneity of use cases - why leashes – not guardrails – are the better analogy for AI governance - what a management-based approach to AI regulation would look like - why the jury is still out on the European, American, and Chinese regulatory approaches - how future lawyers should think about legal education and practice.
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28:53
Responsible AI at Walmart with Nuala O'Connor
This episode of Enzai's AI Governance Podcast features Nuala O’Connor, SVP and Chief Counsel for Digital Citizenship at Walmart. Nuala is a global leader scaling responsible AI efforts. Before joining Walmart, Nuala served as the first Chief Privacy Officer for the U.S Department of Homeland Security and the CEO for the Center for Democracy and Technology. She is an attorney by background. Nuala joined Enzai CEO Ryan Donnelly to discuss: -Her approach to scaling AI efforts at Walmart; -How Walmart’s Responsible AI Pledge embodies four core organizational values; -Major opportunities and risks from generative AI; -How AI adoption and law compare to those from prior waves of technology; and -Her experience growing up in Belfast, where Enzai is based. You can listen on Spotify or Apple Music or watch the episode here on YouTube.
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33:52
Agentic AI and our AI Future with Nell Watson
This episode of Enzai's AI Governance Podcast features Nell Watson.Nell is a machine intelligence researcher, engineer, philosopher, and author of Taming the Machine: Ethically Harness the Power of AI. She leads several prominent efforts in the responsible AI space, chairs IEEE’s ECPAIS Transparency Experts Focus Group and has previously advised Apple. In an episode recorded at Enzai’s office in Belfast, Nell joined Var Shankar to discuss: - how scaffolding will incrementally help today’s foundational AI models improve significantly - why agentic AI will require new ways of thinking about AI governance - how AI labs should think about instilling morals into foundational models - the implications of personal AI assistants becoming ubiquitous and understanding us intimately; and - why organizations and policymakers should prepare for rapid change.
UK