

The Challenges of Governing AI
Dec 3, 2024
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.
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AI Definition and Types
- AI mimics human intelligence, enabling tasks like visual processing and data analysis.
- Machine learning improves AI's capabilities through continuous data input and adaptation.
ChatGPT as Generative AI
- ChatGPT exemplifies generative AI, using neural networks and vast data for responses.
- It statistically predicts responses based on ingested information, rather than actual "thinking."
AI Safety and Policy
- AI safety is a primary policy concern, focusing on critical infrastructure management.
- Regulations like the EU's AI Act and California's SB 1047 (vetoed) emphasize safety assessments and risk mitigation.