8 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…
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…
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…
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…
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…