Watkins, Elizabeth Anne

Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction

Kim, S. S. Y., Watkins, E. A., Russakovsky, O., Fong, R., & Monroy-Hernández, A. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 233

Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts

Metcalf, J., Moss, E., Watkins, E. A., Singh, R., & Elish, M. C. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 195

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI

Ehsan, U., Wintersberger, P., Liao, Q. V., Watkins, E. A., Manger, C., Daumé III, H., Riener, A., & Riedl, M. O. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 117

Humans, AI, and Context: Understanding End-Users’ Trust in a Real-World Computer Vision Application

Kim, S. S. Y., Watkins, E. A., Russakovsky, O., Fong, R., & Monroy-Hernández, A. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)

Cited by 37

The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness

Watkins, E. A., McKenna, M., & Chen, J. (2022) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 35

The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness

Watkins, E. A., & Chen, J. (2024) · The 2024 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 25

Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability

Metcalf, J., Singh, R., Moss, E., Tafesse, E., & Watkins, E. A. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 21

“Have you learned your lesson?” Communities of practice under algorithmic competition

Watkins, E. A. (2022) · New Media & Society

Digital Economy and Work TransformationInnovative Education and Learning Practices

Cited by 14

Repairing Innovation: A Study of Integrating AI in Clinical Care

Elish, M. C., & Watkins, E. A. (2020)

Artificial Intelligence in Healthcare and EducationTechnology and Human Factors in Education and Health

Cited by 5

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Vidgen, B., Agrawal, A., Ahmed, A. M., Akinwande, V., Al-Nuaimi, N., Alfaraj, N., Alhajjar, E., Aroyo, L., Bavalatti, T., Bartolo, M., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 5