28 citations · 89 across the 29 of their papers we have counts for
10 papers · 1 filter
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…
The Collaborative Practices and Motivations of Online Communities Dedicated to Voluntary Misinformation Response
Jina Yoon, Shreya Sathyanarayanan, Franziska Roesner +1
Responding to misinformation online can be an exhausting and thankless task. It takes time and energy to write effective content, puts users at risk of online harassment, and strai…
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…
From Pen to Prompt: How Creative Writers Integrate AI into their Writing Practice
Alicia Guo, Shreya Sathyanarayanan, Leijie Wang +2
Creative writing is a deeply human craft, yet AI systems using large language models (LLMs) offer the automation of significant parts of the writing process. So why do some creativ…
Social-RAG: Retrieving from Group Interactions to Socially Ground AI Generation
Ruotong Wang, Xinyi Zhou, Lin Qiu +3
AI agents are increasingly tasked with making proactive suggestions in online spaces where groups collaborate, yet risk being unhelpful or even annoying if they fail to match group…
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…
Envisioning New Futures of Positive Social Technology: Beyond Paradigms of Fixing, Protecting, and Preventing
JaeWon Kim, Lindsay Popowski, Anna Fang +8
Social technology research today largely focuses on mitigating the negative impacts of technology and, therefore, often misses the potential of technology to enhance human connecti…
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…
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…