activity
20232026
most citedA Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations

36 citations · 71 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2026★ 1 cited

Surfacing and Applying Meaning: Supporting Hermeneutical Autonomy for LGBTQ+ People in Taiwan

Yi-Tong Chen, En-Kai Chang, Nanyi Bi +1

After Taiwan's legalization of same-sex marriage in 2019, LGBTQ+ communities continue to face hostility on social media. Using the lens of hermeneutical injustice and autonomy, we…

cs.HC2026★ 3 cited

"It Became My Buddy, But I'm Not Afraid to Disagree": A Multi-Session Study of UX Evaluators Collaborating with Conversational AI Assistants

Emily Kuang, Ehsan Jahangirzadeh Soure, Luyao Shen +3

AI-assisted usability analysis can potentially reduce the time and effort of finding usability problems, yet little is known about how AI's perceived expertise influences evaluator…

cs.HC2025★ 4 cited

AI Trust Reshaping Administrative Burdens: Understanding Trust-Burden Dynamics in LLM-Assisted Benefits Systems

Jeongwon Jo, He Zhang, Jie Cai +1

Supplemental Nutrition Assistance Program (SNAP) is an essential benefit support system provided by the US administration to 41 million federally determined low-income applicants.…

cs.AI2024★ 25 cited

Designing for Human-Agent Alignment: Understanding what humans want from their agents

Nitesh Goyal, Minsuk Chang, Michael Terry

Our ability to build autonomous agents that leverage Generative AI continues to increase by the day. As builders and users of such agents it is unclear what parameters we need to a…

cs.HC2024★ 36 cited

A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations

Glen Berman, Nitesh Goyal, Michael Madaio

Responsible design of AI systems is a shared goal across HCI and AI communities. Responsible AI (RAI) tools have been developed to support practitioners to identify, assess, and mi…

cs.HC2023★ 2 cited

ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles

Savvas Petridis, Ben Wedin, James Wexler +5

Large language model (LLM) prompting is a promising new approach for users to create and customize their own chatbots. However, current methods for steering a chatbot's outputs, su…