Mulligan, Deirdre K.

Data, privacy, and the greater good

Horvitz, E., & Mulligan, D. (2015) · Science

Privacy-Preserving Technologies in DataThoreau and American Literature

Cited by 267

Privacy is an essentially contested concept: a multi-dimensional analytic for mapping privacy

Mulligan, D. K., Koopman, C., & Doty, N. (2016) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Privacy, Security, and Data ProtectionEthics and Social Impacts of AI

Cited by 149

This Thing Called Fairness: Disciplinary Confusion Realizing a Value in Technology

Mulligan, D. K., Kroll, J. A., Kohli, N., & Wong, R. Y. (2019) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 111

Organizational Governance of Emerging Technologies: AI Adoption in Healthcare

Kim, J. Y., Boag, W., Gulamali, F., Hasan, A., Hogg, H. D. J., Lifson, M., Mulligan, D., Patel, M., Raji, I. D., Sehgal, A., et al. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 55

Contestability in Algorithmic Systems

Vaccaro, K., Karahalios, K., Mulligan, D. K., Kluttz, D., & Hirsch, T. (2019) · Companion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 54

Shaping Our Tools: Contestability as a Means to Promote Responsible Algorithmic Decision Making in the Professions

Mulligan, D. K., Kluttz, D., & Kohli, N. (2019) · SSRN Electronic Journal

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 32