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PolicyPad: Collaborative Prototyping of LLM Policies
arXiv – CS AI|K. J. Kevin Feng, Tzu-Sheng Kuo, Quan Ze Chen, Inyoung Cheong, Kenneth Holstein, Amy X. Zhang||7 views
🤖AI Summary
Researchers developed PolicyPad, an interactive system that helps domain experts collaborate on creating policies for LLMs in high-stakes applications like mental health and law. The system enables real-time policy drafting and testing through established UX prototyping practices, showing improved collaborative dynamics and tighter feedback loops in workshops with 22 experts.
Key Takeaways
- →PolicyPad facilitates collaborative LLM policy design through real-time drafting and independent testing of policy-informed model behavior.
- →The system draws from established UX prototyping practices including heuristic evaluation and storyboarding.
- →Workshops with domain experts in mental health and law demonstrated enhanced collaborative dynamics and novel policy contributions.
- →The research addresses the growing need for expert input in LLM governance for high-stakes applications.
- →The work contributes to advancing AI alignment and safety through expert-informed policy development processes.
#llm-policy#ai-safety#collaborative-design#mental-health#legal-ai#policy-prototyping#ai-governance#expert-systems
Read Original →via arXiv – CS AI
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