Ding Wang
Ding Wang is an HCI researcher at Google AI, her current research focus is to explore the intersection of HCI and AI, specifically the labour involved in production of data and its impact on AI systems subsequently. Prior to joining Google, Ding completed her postdoc research from Microsoft Research India, where her research projects focused on the future of work and health care. Prior to joining MSR, Ding has completed her PhD from HighWire Centre for Doctoral Training in Lancaster University and her doctoral thesis offers a critical/alternative view on how smart cities should be designed, developed and evaluated.
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Google
"I wouldn’t say offensive but...": Disability-Centered Perspectives on Large Language Models
Vinitha Gadiraju
Alex Taylor
Robin Brewer
Proceedings of FAccT 2023 (2023) (to appear)
DICES Dataset: Diversity in Conversational AI Evaluation for Safety
Alex Taylor
Chris Homan
Greg Serapio-García
NeurIPS2023 (2023)
All that Agrees Is Not Gold: Evaluating Ground Truth Labels and Dialogue Content for Safety
Chris Homan
Greg Serapio-García
Alex Taylor
(2023)
Annotator Diversity in Data Practices
Shivani Kapania
Alex Stephen Taylor
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, USA (to appear)
Intersecting Demographics: Bayesian Multilevel Models Reveal Age, Gender, and Racial Differences in Safety Perception of Chatbot Conversations
Chris Homan
Greg Serapio-García
Alex Taylor
(2023)
The Reasonable Effectiveness of Diverse Evaluation Data
Christopher Homan
Alex Taylor
Human Evaluation for Generative Models (HEGM) Workshop at NeurIPS2022
