Kevin Werbach interviews Karine Perset, Acting Head of the OECD’s AI and Emerging Technology Division, about the global effort to shape responsible AI. Perset explains how the OECD—an intergovernmental organization with 38 member countries—has become a central forum for governments to cooperate on complex, interdependent challenges like AI. Since launching its AI foresight forum in 2016, the OECD has spearheaded two cornerstone initiatives: the OECD Recommendation on AI, the first intergovernmental standard adopted in 2019, and OECD.AI, a policy observatory that tracks global trends, policies, and metrics. Perset highlights the organization’s unique role in convening evidence-based dialogue across governments, experts, and stakeholders worldwide. She describes the challenge of reconciling diverse national approaches while developing common tools, like a global incident-reporting framework and over 250 indicators that measure AI maturity across investment, research, infrastructure, and workforce skills. She underscores both the urgency and the opportunity: AI systems are diffusing rapidly across all sectors, powered by common algorithms that create shared risks. Without aligned safeguards and interoperable standards, countries risk repeating one another’s mistakes. Yet if governments can coordinate, share data responsibly, and support one another’s policy development, AI can strengthen economic resilience, innovation, and public trust.

Karine Perset is the Acting Head of the OECD AI and Emerging Digital Technologies Division, where she oversees the OECD.AI Policy Observatory, the Global Partnership on AI (GPAI) & integrated network of experts as well as the OECD Global Forum on Emerging Technologies. She oversees the development of analysis, policies and tools inline with the OECD AI Principles. She also helps governments manage the opportunities and challenges that AI and emerging technologies raise for governments. Previously she was Advisor to ICANN’s Governmental Advisory Committee and Counsellor of the OECD’s Science, Technology and Industry Director.

OECD.ai

Kevin Werbach interviews DJ Patil, the first U.S. Chief Data Scientist under the Obama Administration, about the evolving role of AI in government, healthcare, and business. Patil reflects on how the mission of government data leadership has grown more critical today: ensuring good data, using it responsibly, and unleashing its power for public benefit. He describes both the promise and the paralysis of today’s “big data” era, where dashboards abound, but decision-making often stalls. He highlights the untapped potential of federal datasets, such as the VA’s Million Veterans Project, which could accelerate cures for major diseases if unlocked. Yet funding gaps, bureaucratic resistance, and misalignment with Congress continue to stand in the way.

Turning to AI, Patil describes a landscape of extraordinary progress: tools that help patients ask the right questions of their physicians, innovations that enhance customer service, and a wave of entrepreneurial energy transforming industries. At the same time, he raises alarms about inequitable access, job disruption, complacency in relying on imperfect systems, and the lack of guardrails to prevent harmful misuse. Rather than relentlessly stepping on the gas in the AI "race," he emphasizes, we need a steering wheel, in the form of public policy, to ensure that AI development serves the public good.

DJ Patil is an entrepreneur, investor, scientist, and public policy leader who served as the first U.S. Chief Data Scientist under the Obama Administration. He has held senior leadership roles at PayPal, eBay, LinkedIn, and Skype, and is currently a General Partner at Greylock Ventures. Patil is recognized as a pioneer in advancing the use of data science to drive innovation, inform policy, and create public benefit.

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Ethics of Data Science, Co-Authored by DJ Patil

Kevin Werbach interviews Kay Firth-Butterfield about how responsible AI has evolved from a niche concern to a global movement. As the world’s first Chief AI Ethics Officer and former Head of AI at the World Economic Forum, Firth-Butterfield brings deep experience aligning AI with human values. She reflects on the early days of responsible AI—when the field was dominated by philosophical debates—to today, when regulation such as the European Union's AI Act is defining the rules of the road.. Firth-Butterfield highlights the growing trust gap in AI, warning that rapid deployment without safeguards is eroding public confidence. Drawing on her work with Fortune 500 firms and her own cancer journey, she argues for human-centered AI, especially in high-stakes areas like healthcare and law. She also underscores the equity issues tied to biased training data and lack of access in the Global South, noting that AI is now generating data based on historical biases. Despite these challenges, she remains optimistic and calls for greater focus on sustainability, access, and AI literacy across sectors.

Kay Firth-Butterfield is the founder and CEO of Good Tech Advisory LLC. She was the world’s first C-suite appointee in AI ethics and was the inaugural Head of AI and Machine Learning at the World Economic Forum from 2017 to 2023. A former judge and barrister, she advises governments and Fortune 500 companies on AI governance and remains affiliated with Doughty Street Chambers in the UK.

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Kay Firth-Butterfield Is Shaping Responsible AI Governance (Time100 Impact Awards)

Our Future with AI Hinges on Global Cooperation

Building an Organizational Approach to Responsible AI

Co-Existing with AI - Firth-Butterfield's Forthcoming Book

Kevin Werbach interviews Dale Cendali, one of the country’s leading intellectual property (IP) attorneys, to discuss how courts are grappling with copyright questions in the age of generative AI. Over 30 lP awsuits already filed against major generative AI firms, and the outcomes may shape the future of AI as well as creative industries.

While we couldn't discuss specifics of one of the most talked-about cases, Thomson Reuters v. ROSS -- because Cendali is litigating it on behalf of Thomson Reuters -- she drew on her decades of experience in IP law to provide an engaging look at the legal battlefield and the prospects for resolution.

Cendali breaks down the legal challenges around training AI on copyrighted materials—from books to images to music—and explains why these cases are unusually complex for copyright law. She discusses the recent US Copyright Office report on Generative AI training, what counts as infringement in AU outputs, and what is sufficient human authorship for copyirght protection of AI works. While precedent offers some guidance, Cendali notes that outcomes will depend heavily on the specific facts of each case. The conversation also touches on how well courts can adapt existing copyright law to these novel technologies, and the prospects for a legislative solution.

Dale Cendali is a partner at Kirkland & Ellis, where she leads the firm’s nationwide copyright, trademark, and internet law practice. She has been named one of the 25 Icons of IP Law and one of the 100 Most Influential Lawyers in America. She also serves as an advisor to the American Law Institute’s Copyright Restatement project and sits on the Board of the International Trademark Association.

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Thompson Reuters Wins Key Fair Use Fight With AI Startup

Dale Cendali - 2024 Law360 MVP

Copyright Office Report on Generative AI Training

Kevin Werbach interviews Shameek Kundu, Executive Director of AI Verify Foundation, to explore how organizations can ensure AI systems work reliably in real-world contexts. AI Verify, a government-backed nonprofit in Singapore, aims to build scalable, practical testing frameworks to support trustworthy AI adoption. Kundu emphasizes that testing should go beyond models to include entire applications, accounting for their specific environments, risks, and data quality. He draws on lessons from AI Verify’s Global AI Assurance pilot, which matched real-world AI deployers—such as hospitals and banks—with specialized testing firms to develop context-aware testing practices. Kundu explains that the rise of generative AI and widespread model use has expanded risk and complexity, making traditional testing insufficient. Instead, companies must assess whether an AI system performs well in context, using tools like simulation, red teaming, and synthetic data generation, while still relying heavily on human oversight. As AI governance evolves from principles to implementation, Kundu makes a compelling case for technical testing as a backbone of trustworthy AI.

Shameek Kundu is Executive Director of the AI Verify Foundation. He previously held senior roles at Standard Chartered Bank, including Group Chief Data Officer and Chief Innovation Officer, and co-founded a startup focused on testing AI systems. Kundu has served on the Bank of England’s AI Forum, Singapore’s FEAT Committee, the Advisory Council on Data and AI Ethics, and the Global Partnership on AI.

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AI Verify Foundation

Findings from the Global AI Assurance Pilot

Starter Kit for Safety Testing of LLM-Based Applications

Host Kevin Werbach interviews Uthman Ali, Global Responsible AI Officer at BP, to delve into the complexities of implementing responsible AI practices within a global energy company. Ali emphasizes how the culture of safety in the industry influences BP's willingness to engage in AI governance. He discusses the necessity of embedding ethical AI principles across all levels of the organization, emphasizing tailored training programs for various employee roles—from casual AI users to data scientists—to ensure a comprehensive understanding of AI’s ethical implications. He also highlights the importance of proactive governance, advocating for the development of ethical policies and procedures that address emerging technologies such as robotics and wearables. Ali’s approach underscores the balance between innovation and ethical responsibility, aiming to foster an environment where AI advancements align with societal values and regulatory standards.

Uthman Ali is BP’s first Global Responsible AI Officer, and has been instrumental in establishing the company’s Digital Ethics Center of Excellence. He advises prominent organizations such as the World Economic Forum and the British Standards Institute on AI governance and ethics. Additionally, Ali contributes to research and policy discussions as an advisor to Oxford University's Oxethica spinout and various AI safety institutes.

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Prioritizing People and Planet as the Metrics for Responsible AI (IEEE Standards Association)

Robocops and Superhumans: Dilemmas of Frontier Technology (2024 podcast interview)

Kevin Werbach interviews journalist and author Karen Hao about her new book Empire of AI, which chronicles the rise of OpenAI and the broader implications of generative artificial intelligence. Hao reflects on how the ethical challenges of AI have evolved, noting the shift from concerns like data privacy and algorithmic bias to more complex issues such as intellectual property violations, environmental impact, misleading user experiences, and concentration of power. She emphasizes that while some technical solutions exist, they are rarely implemented by developers, and foundational harms often occur before tools reach end users. Hao argues that OpenAI’s trajectory was not inevitable but instead the result of specific ideological beliefs, aggressive scaling decisions, and CEO Sam Altman’s singular fundraising prowess. She critiques the “pseudo-religious” ideologies underpinning Silicon Valley’s AI push, where utopian and doomer narratives coexist to justify rapid development. Hao outlines a more democratic alternative focused on smaller, task-specific models and stronger regulation to redirect AI’s future trajectory.

Karen Hao has written about AI for publications such as The Atlantic, The Wall Street Journal, and MIT Tchnology Review. She was the first journalist to ever profile OpenAI, and leads The AI Spotlight Series, a program with the Pulitzer Center that trains thousands of journalists around the world on how to cover AI. She has also been a fellow with the Harvard Technology and Public Purpose program, the MIT Knight Science Journalism program, and the Pulitzer Center’s AI Accountability Network. She won an American Humanist Media Award in 2024, and an American National Magazine Award in 2022.

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Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI

Inside the Chaos at OpenAI (The Atlantic, 2023)

Cleaning Up ChatGPT Takes Heavy Toll on Human Workers (Wall St. Journal, 2023)

The New AI Panic (The Atlantic, 2023)

The Messy, Secretive Reality Behind OpenAI’s Bid to Save the World (MIT Technology Review, 2020)