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20232026
most citedExplaining the Reputational Risks of AI-Mediated Communication: Messages labeled as AI-assisted are viewed as less diagnostic of the sender's moral character

2 citations · 2 across the 5 of their papers we have counts for

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cs.HC2026

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…

cs.HC2025★ 2 cited

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…

cs.HC2024

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…

cs.HC2023

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…

cs.HC2023

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…