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20232025
most cited(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice

85 citations · 94 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.HC2025

PolicyPad: Collaborative Prototyping of LLM Policies

K. J. Kevin Feng, Tzu-Sheng Kuo, Quan Ze Chen +3

As LLMs gain adoption in high-stakes domains like mental health, domain experts are increasingly consulted to provide input into policies governing their behavior. From an observat…

cs.HC2024

Cocoa: Co-Planning and Co-Execution with AI Agents

K. J. Kevin Feng, Kevin Pu, Matt Latzke +6

As AI agents take on increasingly long-running tasks involving sophisticated planning and execution, there is a corresponding need for novel interaction designs that enable deeper…

cs.HC2024

Chain of Alignment: Integrating Public Will with Expert Intelligence for Language Model Alignment

Andrew Konya, Aviv Ovadya, Kevin Feng +4

We introduce a method to measure the alignment between public will and language model (LM) behavior that can be applied to fine-tuning, online oversight, and pre-release safety che…

cs.HC2024

Policy Prototyping for LLMs: Pluralistic Alignment via Interactive and Collaborative Policymaking

K. J. Kevin Feng, Inyoung Cheong, Quan Ze Chen +1

Emerging efforts in AI alignment seek to broaden participation in shaping model behavior by eliciting and integrating collective input into a policy for model finetuning. While plu…

cs.HC2024★ 3 cited

Canvil: Designerly Adaptation for LLM-Powered User Experiences

K. J. Kevin Feng, Q. Vera Liao, Ziang Xiao +3

Advancements in large language models (LLMs) are sparking a proliferation of LLM-powered user experiences (UX). In product teams, designers often craft UX to meet user needs, but i…