85 citations · 96 across the 9 of their papers we have counts for
9 papers
Legal Retrieval for Public Defenders
Dominik Stammbach, Kylie Zhang, Patty Liu +4
AI tools are suggested as solutions to assist public agencies with heavy workloads. In public defense -- where a constitutional right to counsel meets the complexities of law, over…
How Can AI Augment Access to Justice? Public Defenders' Perspectives on AI Adoption
Inyoung Cheong, Patty Liu, Dominik Stammbach +1
Public defenders are asked to do more with less: representing clients deserving of adequate counsel while facing overwhelming caseloads and scarce resources. Although artificial in…
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…
Penalizing Transparency? How AI Disclosure and Author Demographics Shape Human and AI Judgments About Writing
Inyoung Cheong, Alicia Guo, Mina Lee +7
As AI integrates in various types of human writing, calls for transparency around AI assistance are growing. However, if transparency operates on uneven ground and certain identity…
The Model Hears You: Audio Language Model Deployments Should Consider the Principle of Least Privilege
Luxi He, Xiangyu Qi, Michel Liao +4
The latest Audio Language Models (Audio LMs) process speech directly instead of relying on a separate transcription step. This shift preserves detailed information, such as intonat…
LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions
Zhehui Liao, Maria Antoniak, Inyoung Cheong +5
The rise of large language models (LLMs) has led many researchers to consider their usage for scientific work. Some have found benefits using LLMs to augment or automate aspects of…
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…
(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice
Inyoung Cheong, King Xia, K. J. Kevin Feng +2
Large language models (LLMs) are increasingly capable of providing users with advice in a wide range of professional domains, including legal advice. However, relying on LLMs for l…
Case Repositories: Towards Case-Based Reasoning for AI Alignment
K. J. Kevin Feng, Quan Ze Chen, Inyoung Cheong +2
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. Similar comp…