214 citations · 267 across the 12 of their papers we have counts for
12 papers
Who Bears the Cost of Honesty? A FAccT Workshop Synthesis and Research Agenda for Equitable AI Disclosure
Runlong Ye, Jessica He, Finola Finn +4
AI disclosure is increasingly promoted and sometimes required as a route to transparency, accountability, provenance, and trust. Yet disclosure can also expose AI users to suspicio…
The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products
Hao-Ping Lee, Jessica He, David Piorkowski +3
Agentic AI systems act autonomously, use tools, adapt to context, and operate in complex real-world environments. However, these same characteristics can create or exacerbate produ…
Next-Billion AI Index: The compass for AI utility and adoption in the global majority
Ambrish Rawat, Jessica He, Subhabrata Majumdar +6
Generative AI assessments remain dominated by frontier capability benchmarks that often fail to capture whether systems can be sustainably deployed, adapted, and trusted in locally…
Exploring Emerging Norms of AI Attribution and Disclosure in Programming Education
Runlong Ye, Oliver Huang, Jessica He +1
Generative AI blurs the lines of authorship in computing education, creating uncertainty around how students should attribute AI assistance. To examine these emerging norms, we con…
"Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Work
Angel Hsing-Chi Hwang, Senya Wong, Baixiao Chen +2
The growing use of AI applications among freelance workers is reshaping trust and relationships with clients. This paper investigates how both workers and clients perceive AI use a…
The Emerging Use of GenAI for UX Research in Software Development: Challenges and Opportunities
Heloisa Candello, Werner Geyer, Siya Kunde +7
The growing adoption of generative AI (GenAI) is reshaping how user experience (UX) research teams conduct qualitative research in software development, creating opportunities to s…
Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop
Lev Tankelevitch, Elena L. Glassman, Jessica He +7
Generative AI (GenAI) radically expands the scope and capability of automation for work, education, and everyday tasks, a transformation posing both risks and opportunities for hum…
A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development
Werner Geyer, Jessica He, Daita Sarkar +6
The broad availability of generative AI offers new opportunities to support various work domains, including agile software development. Agile epics are a key artifact for product m…
AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources
Frank Bagehorn, Kristina Brimijoin, Elizabeth M. Daly +17
The rapid evolution of generative AI has expanded the breadth of risks associated with AI systems. While various taxonomies and frameworks exist to classify these risks, the lack o…
Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation
Jessica He, Stephanie Houde, Justin D. Weisz
AI systems powered by large language models can act as capable assistants for writing and editing. In these tasks, the AI system acts as a co-creative partner, making novel contrib…
Design Principles for Generative AI Applications
Justin D. Weisz, Jessica He, Michael Muller +3
Generative AI applications present unique design challenges. As generative AI technologies are increasingly being incorporated into mainstream applications, there is an urgent need…
Toward General Design Principles for Generative AI Applications
Justin D. Weisz, Michael Muller, Jessica He +1
Generative AI technologies are growing in power, utility, and use. As generative technologies are being incorporated into mainstream applications, there is a need for guidance on h…