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The Road to Accountable AI

Kevin Werbach
The Road to Accountable AI
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  • Ashley Casovan: From Privacy Practice to AI Governance
    Professor Werbach talks with Ashley Casavan, Managing Director of the AI Governance Center at the IAPP, the global association for privacy professional and related roles. Ashley shares how privacy, data protection, and AI governance are converging, and why professionals must combine technical, policy, and risk expertise. They discuss efforts to build a skills competency framework for AI roles and examine the evolving global regulatory landscape—from the EU’s AI Act to U.S. state-level initiatives. Drawing on Ashley’s experience in the Canadian government, the episode also explores broader societal challenges, including the need for public dialogue and the hidden impacts of automated decision-making. Ashley Casovan  serves as the primary thought leader and public voice for the IAPP on AI governance. She has developed expertise in responsible AI, standards, policy, open government and data governance  in the public sector at the municipal and federal levels. As the director of data and digital for the government of Canada, Casovan previously led the development of the world’s first national government policy for responsible AI. Casovan served as the Executive Director of the Responsible AI Institute, a member of OECD’s AI Policy Observatory Network of Experts, a member of the World Economic Forum's AI Governance Alliance, an Executive Board Member of the International Centre of Expertise in Montréal on Artificial Intelligence and as a member of the IFIP/IP3 Global Industry Council within the UN. Transcript Ashley Casovan IAPP IAPP AI Governance Profession Report 2025 Global AI Law and Policy Tracker Mapping and Understanding the AI Governance Ecosystem
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  • Lauren Wagner: The Potential of Private AI Governance
    Kevin Werbach interviews Lauren Wagner, a builder and advocate for market-driven approaches to AI governance. Lauren shares insights from her experiences at Google and Meta, emphasizing the critical intersection of technology, policy, and trust-building. She describes the private AI governance model, and the incentives for private-sector incentives and transparency measures, such as enhanced model cards, to guide responsible AI development without heavy-handed regulation. Lauren also explores ongoing challenges around liability, insurance, and government involvement, highlighting the potential of public procurement policies to set influential standards. Reflecting on California's SB 1047 AI bill, she discusses its drawbacks and praises the inclusive debate it sparked. Lauren concludes by promoting productive collaborations between private enterprises and governments, stressing the importance of transparent, accountable, and pragmatic AI governance approaches. Lauren Wagner is a researcher, operator and investor creating new markets for trustworthy technology. She is currently a Term Member at the Council on Foreign Relations, a Technical & AI Policy Advisor to the Data & Trust Alliance, and an angel investor in startups with a trust & safety edge, particularly AI-driven solutions for regulated markets. She has been a Senior Advisor to Responsible Innovation Labs, an early-stage investor at Link Ventures, and held senior product and marketing roles at Meta and Google.  Transcript AI Governance Through Markets (February 2025) How Tech Created the Online Fact-Checking Industry (March 2025) Responsible Innovation Labs Data & Trust Alliance  
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  • Medha Bankhwal and Michael Chui: Implementing AI Trust
    Kevin Werbach speaks with Medha Bankhwal and Michael Chui from QuantumBlack, the AI division of the global consulting firm McKinsey. They discuss how McKinsey's AI work has evolved from strategy consulting to hands-on implementation, with AI trust now embedded throughout their client engagements. Chui highlights what makes the current AI moment transformative, while Bankwhal shares insights from McKinsey's recent AI survey of over 760 organizations across 38 countries. As they explain, trust remains a major barrier to AI adoption, although there are geographic differences in AI governance maturity.  Medha Bankhwal, a graduate of Wharton's MBA program, is an Associate Partner, as well as Co-founder of McKinsey’s AI Trust / Responsible AI practice. Prior to McKinsey, Medha was at Google and subsequently co-founded a digital learning not-for-profit startup. She co-leads forums for AI safety discussions for policy + tech practitioners, titled “Trustworthy AI Futures” as well as a community of ex-Googlers dedicated to the topic of AI Safety.  Michael Chui is a senior fellow at QuantumBlack, AI by McKinsey. He leads research on the impact of disruptive technologies and innovation on business, the economy, and society. Michael has led McKinsey research in such areas as artificial intelligence, robotics and automation, the future of work, data & analytics, collaboration technologies, the Internet of Things, and biological technologies. Episode Transcript The State of AI: How Organizations are Rewiring to Capture Value (March 12, 2025)  Superagency in the workplace: Empowering people to unlock AI’s full potential (January 28, 2025) Building AI Trust: The Key Role of Explainability (November 26, 2024) McKinsey Responsible AI Principles
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  • Eric Bradlow: AI Goes to Business School
    Kevin Werbach speaks with Eric Bradlow, Vice Dean of AI & Analytics at Wharton. Bradlow highlights the transformative impacts of AI from his perspective as an applied statistician and quantitative marketing expert. He describes the distinctive approach of Wharton's analytics program, and its recent evolution with the rise of AI. The conversation highlights the significance of legal and ethical responsibility within the AI field, and the genesis of the new Wharton Accountable AI Lab. Werbach and Bradlow then examine the role of academic institutions in shaping the future of AI, and how institutions like Wharton can lead the way in promoting accountability, learning and responsible AI deployment. Eric Bradlow is the Vice Dean of AI & Analytics at Wharton, Chair of the Marketing Department, and also a professor of Economics, Education, Statistics, and Data Science. His research interests include Bayesian modeling, statistical computing, and developing new methodology for unique data structures with application to business problems. In addition to publishing in a variety of top journals, he has won numerous teaching awards at Wharton, including the MBA Core Curriculum teaching award, the Miller-Sherrerd MBA Core Teaching Award and the Excellence in Teaching Award.  Episode Transcript Wharton AI & Analytics Initiative Eric Bradlow - Knowledge at Wharton   Want to learn more? ​​Engage live with Professor Werbach and other Wharton faculty experts in Wharton's new Strategies for Accountable AI online executive education program. It's perfect for managers, entrepreneurs, and advisors looking to harness AI’s power while addressing its risks.  
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  • Wendy Gonzalez: Managing the Humans in the AI Loop
    This week, Kevin Werbach is joined by Wendy Gonzalez of Sama, to discuss the intersection of human judgment and artificial intelligence. Sama provides data annotation, testing, model fine-tuning, and related services for computer vision and generative AI. Kevin and Wendy review Sama's history and evolution, and then consider the challenges of maintaining reliability in AI models through validation and human-centric feedback. Wendy addresses concerns about the ethics of employing workers from the developing world for these tass. She then shares insights on Sama's commitment to transparency in wages, ethical sourcing, and providing opportunities for those facing the greatest employment barriers. Wendy Gonzalez is the CEO Sama. Since taking over 2020, she has led a variety of successes at the company, including launching Machine Learning Assisted Annotation which has improved annotation efficiency by over 300%. Wendy has over two decades of managerial and technology leadership experience for companies including EY, Capgemini Consulting and Cycle30 (acquired by Arrow Electronics), and is an active Board Member of the Leila Janah Foundation.  https://www.sama.com/ Forbes Business Council - Wendy Gonzalez
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Sobre The Road to Accountable AI

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.
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