Metcalf, Jacob

Where are human subjects in big data research? the emerging ethics divide

Metcalf, J., & Crawford, K. (2016) · Big Data & Society

Ethics and Social Impacts of AIBig Data Technologies and Applications

Cited by 394

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

Auditing Work: Exploring the New York City algorithmic bias audit regime

Groves, L., Metcalf, J., Kennedy, A., Vecchione, B., & Strait, A. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 59

Null Compliance: NYC Local Law 144 and the challenges of algorithm accountability

Wright, L., Muenster, R. M., Vecchione, B., Qu, T., Cai, P. (., Smith, A., Comm 2450 Student Investigators, Metcalf, J., & Matias, J. N. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 43

Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability

Wright, L., Muenster, R. M., Vecchione, B., Qu, T., Pika, Cai, Investigators, C. 2. S., Metcalf, J., & Matias, J. N. (2024) · arXiv

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 43

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