28 citations · 89 across the 29 of their papers we have counts for
17 papers · 1 filter
Moral Missions: Sustaining Responsible Practice by Surfacing Practitioner Moral Decision-Making Procedures
Teanna Barrett, B. Biira, Jainaba Jawara +8
A growing ecosystem of techniques, toolkits, and guidelines has been developed to help data scientists consider the social implications of data-driven technologies. However, prior…
Hedwig: Dynamic Autonomy for Coding Agents Under Local Oversight
Tanjal Shukla, K. J. Kevin Feng, Leijie Wang +2
Despite coding agents' advances in handling increasingly complex tasks, their continued tendency to introduce unintended edits, subtle bugs, and scope drift that slip past code rev…
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…
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…
Levels of Autonomy for AI Agents
K. J. Kevin Feng, David W. McDonald, Amy X. Zhang
Autonomy is a double-edged sword for AI agents, simultaneously unlocking transformative possibilities and serious risks. How can agent developers calibrate the appropriate levels o…
From Inquisitorial to Adversarial: Using Legal Theory to Redesign Online Reporting Systems
Leijie Wang, Weizi Wu, Lirong Que +2
User reporting systems play a central role in how online communities address interpersonal conflict and harassment, especially in private spaces such as direct messages, voice chat…
Facets, Taxonomies, and Syntheses: Navigating Structured Representations in LLM-Assisted Literature Review
Raymond Fok, Joseph Chee Chang, Marissa Radensky +4
Comprehensive literature review requires synthesizing vast amounts of research -- a labor intensive and cognitively demanding process. Most prior work focuses either on helping res…
Building Proactive and Instant-Reactive Safety Designs to Address Harassment in Social Virtual Reality
Zhehui Liao, Hanwen Zhao, Ayush Kulkarni +2
Social Virtual Reality (VR) games offer immersive socialization experiences but pose significant challenges of harassment. Common solutions, such as reporting and moderation, addre…
"It's Great Because It's Ran By Us": Empowering Teen Volunteer Discord Moderators to Design Healthy and Engaging Youth-Led Online Communities
Jina Yoon, Amy X. Zhang, Joseph Seering
Online communities can offer many benefits for youth including peer learning, cultural expression, and skill development. However, most HCI research on youth-focused online communi…
Agonistic Image Generation: Unsettling the Hegemony of Intention
Andrew Shaw, Andre Ye, Ranjay Krishna +1
Current image generation paradigms prioritize actualizing user intention - "see what you intend" - but often neglect the sociopolitical dimensions of this process. However, it is i…
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…
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…
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…
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…
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…