Emanuel Moss, PhD.

Senior Research Scientist investigating multidisciplinary approaches to AI evaluation and computational practices.

Emanuel Moss headshot

Emanuel Moss, PhD.

Emanuel Moss conducts multidisciplinary research investigating AI and computing, focusing on AI evaluations, generative AI in expert domains, and organizational approaches to AI adoption.

Publications

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Peer reviewed paper

Trust Is Not Enough: Accuracy, Error, Randomness, and Accountability in an Algorithmic Society

Emanuel Moss. (2023). ACM Communications 66(6).

Peer reviewed paper

Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning

A. Feder Cooper, Emanuel Moss, Benjamin Laufer, and Helen Nissenbaum. (2022). ACM FAccT '22.

Juried conference paper

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

Jacob Metcalf, Emanuel Moss, Elizabeth Anne Watkins, Ranjit Singh, M.C. Elish. (2021). In FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency in Computer Science. pp. 735-746. Toronto, ON.

Blog post

Too big a word

Data & Society Points Blog. Co-written with Jacob Metcalf. (2019).

Commissioned journal article

Owning Ethics: Corporate logics, Silicon Valley, and the institutionalization of ethics

Jacob Metcalf, Emanuel Moss, danah boyd. (2019). Social Research 86(2).

Comment

AI’s Social (Science) Deficit Has Consequences

Mona Sloane, Emanuel Moss. (2019). Nature Machine Intelligence 1(8).

Get in touch

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