85 citations · 112 across the 10 of their papers we have counts for
10 papers
Botender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based Provocations
Tzu-Sheng Kuo, Sophia Liu, Quan Ze Chen +4
AI agents, or bots, serve important roles in online communities. However, they are often designed by outsiders or a few tech-savvy members, leading to bots that may not align with…
SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment
Quan Ze Chen, K. J. Kevin Feng, Chan Young Park +1
When different groups' values differ, one approach to model alignment is to steer models at inference time towards each group's preferences. However, techniques like in-context lea…
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…
Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work
Aviv Ovadya, Kyle Redman, Luke Thorburn +11
This position paper argues that effectively "democratizing AI" requires democratic governance and alignment of AI, and that this is particularly valuable for decisions with systemi…
PolicyCraft: Supporting Collaborative and Participatory Policy Design through Case-Grounded Deliberation
Tzu-Sheng Kuo, Quan Ze Chen, Amy X. Zhang +3
Community and organizational policies are typically designed in a top-down, centralized fashion, with limited input from impacted stakeholders. This can result in policies that are…
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…
End User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting
Leijie Wang, Kathryn Yurechko, Pranati Dani +2
Existing tools for laypeople to create personal classifiers often assume a motivated user working uninterrupted in a single, lengthy session. However, users tend to engage with soc…
(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…
Bringing Social Computing to Secondary School Classrooms
Kianna Bolante, Kevin Chen, Quan Ze Chen +1
Social computing is the study of how technology shapes human social interactions. This topic has become increasingly relevant to secondary school students (ages 11--18) as more of…
Case Law Grounding: Using Precedents to Align Decision-Making for Humans and AI
Quan Ze Chen, Amy X. Zhang
From moderating content within an online community to producing socially-appropriate generative outputs, decision-making tasks -- conducted by either humans or AI -- often depend o…