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Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits
As a first step towards democratic governance and risk assessment of AI, we introduce Particip-AI, a framework to gather current and future AI use cases and their harms and benefits from non-expert public.
(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice
The rapid proliferation of large language models (LLMs) as general purpose chatbots available to the public raises hopes around expanding access to professional guidance in law, medicine, and finance, while triggering concerns about public reliance on LLMs for high-stakes circumstances.
Case Repositories: Towards Case-Based Reasoning for AI Alignment
Case studies commonly form the pedagogical backbone in law, ethics, and many other domains that face complex and ambiguous societal questions informed by human values.
Is the U.S. Legal System Ready for AI's Challenges to Human Values?
Our interdisciplinary study investigates how effectively U. S. laws confront the challenges posed by Generative AI to human values.
