219 citations · 330 across the 10 of their papers we have counts for
4 papers · 1 filter
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Neel Guha, Julian Nyarko, Daniel E. Ho +37
The advent of large language models (LLMs) and their adoption by the legal community has given rise to the question: what types of legal reasoning can LLMs perform? To enable great…
Freedom of Speech and AI Output
Eugene Volokh, Mark Lemley, Peter Henderson
Is the output of generative AI entitled to First Amendment protection? We're inclined to say yes. Even though current AI programs are of course not people and do not themselves hav…
Where's the Liability in Harmful AI Speech?
Peter Henderson, Tatsunori Hashimoto, Mark Lemley
Generative AI, in particular text-based "foundation models" (large models trained on a huge variety of information including the internet), can generate speech that could be proble…
Foundation Models and Fair Use
Peter Henderson, Xuechen Li, Dan Jurafsky +3
Existing foundation models are trained on copyrighted material. Deploying these models can pose both legal and ethical risks when data creators fail to receive appropriate attribut…