Daniel Ho
William Benjamin Scott and Luna M. Scott Professor of Law at Stanford Law School, also a professor of political science and computer science. He is also a senior fellow at the Stanford Institute for Human-Centered Artificial Intelligence and the director of RegLab.
Top 3 podcasts with Daniel Ho
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May 15, 2025 • 40min
AI, Liability, and Hallucinations in a Changing Tech and Law Environment
Daniel Ho, a leading law professor at Stanford, and Mirac Suzgun, a JD/PhD student focused on AI in law, discuss the integration of AI technology in the legal field. They explore the phenomenon of AI hallucinations, where the tech generates fictitious legal citations, raising serious concerns about accuracy. The conversation delves into the challenges of AI misunderstanding legal precedents, the effects of biased training data, and the need for human oversight. Their insights highlight both the promise and peril of using AI in legal practice.
Dec 3, 2024 • 43min
The Challenges of Governing AI
Daniel Ho, a Stanford Law Professor and expert in AI governance, discusses the complexities of regulating artificial intelligence. Pamela Samuelson, a UC Berkeley professor specializing in copyright law, delves into generative AI lawsuits and their implications. Colleen Chien highlights how AI can transform legal aid, making justice more accessible. The conversation also touches on the need for safety measures in AI systems and the importance of transparency, revealing the responsibilities of legal scholars in shaping future AI laws.
Oct 31, 2024 • 37min
6. From Errors to Efficiency: Can AI Transform the Practice of Law?
Isabel Gottlieb, a Bloomberg Law reporter with a focus on AI in corporate legal departments, joins legal powerhouse John Quinn, founder of a leading law firm, and Stanford law professor Daniel Ho. They tackle the transformative potential of AI in legal practice, discussing both efficiency gains and significant accuracy concerns. The guests illuminate challenges like 'hallucinations' in AI responses and explore real-world implications, such as contract interpretation post-Hurricane Katrina. Together, they envision a future where human oversight and AI coalesce in law.
