2 citations · 2 across the 5 of their papers we have counts for
6 papers
A Cross Community Agenda for Speech AI
Maria Teleki, Kimi Wenzel, Anna Seo Gyeong Choi +20
Speech AI, any AI system that recognizes, transforms, or generates speech, is built and evaluated across two communities with only a small overlap: technical natural language proce…
Explaining the Reputational Risks of AI-Mediated Communication: Messages labeled as AI-assisted are viewed as less diagnostic of the sender's moral character
Pranav Khadpe, Kimi Wenzel, George Loewenstein +1
When someone sends us a thoughtful message, we naturally form judgments about their character. But what happens when that message carries a label indicating it was written with the…
Designing for Harm Reduction: Communication Repair for Multicultural Users' Voice Interactions
Kimi Wenzel, Geoff Kaufman
Voice assistants' inability to serve people-of-color and non-native English speakers has largely been documented as a quality-of-service harm. However, little work has investigated…
Beyond Fairness: Alternative Moral Dimensions for Assessing Algorithms and Designing Systems
Kimi Wenzel, Geoff Kaufman, Laura Dabbish
The ethics of artificial intelligence (AI) systems has risen as an imminent concern across scholarly communities. This concern has propagated a great interest in algorithmic fairne…
Challenges in Designing Racially Inclusive Language Technologies
Kimi Wenzel, Geoff Kaufman
We take a critical lens toward the pursuit of racially inclusive language technologies and identify several areas necessitating future work. We discuss the potential harms of conve…
Can Voice Assistants Be Microaggressors? Cross-Race Psychological Responses to Failures of Automatic Speech Recognition
Kimi Wenzel, Nitya Devireddy, Cam Davidson +1
Language technologies have a racial bias, committing greater errors for Black users than for white users. However, little work has evaluated what effect these disparate error rates…