Daniel Ho

Daniel Ho, a law professor at Stanford specializing in AI and legal documentation, discusses the transformative potential of artificial intelligence in the legal field. He highlights the risks associated with AI hallucinations in legal queries, stating over 80% can be inaccurate. Ho shares a groundbreaking project in California where AI was used to swiftly identify and remove racist property covenants from laws. He emphasizes AI's role in reducing bureaucratic inefficiencies, paving the way for legal reform and increased access to justice.

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.

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.