Accountability of AI Under the Law: The Role of Explanation. - Finale Doshi-Velez; Mason Kortz; Ryan Budish; Chris Bavitz; Sam Gershman; David O'Brien; Stuart Schieber; James Waldo; David Weinberger; Alexandra Wood (CoRR, 2017)

A Harm-Reduction Framework for Algorithmic Fairness. - Micah Altman; Alexandra Wood; Effy Vayena (IEEE Secur. Priv., 2018)

Formalizing Privacy Laws for License Generation and Data Repository Decision Automation. - Micah Altman; Stephen Chong; Alexandra Wood (CoRR, 2019)

Foundations for Robust Data Protection: Co-designing Law and Computer Science. - Kobbi Nissim; Alexandra Wood (TPS-ISA, 2021)

The Case for Establishing a Collective Perspective to Address the Harms of Platform Personalization. - Ayelet Gordon-Tapiero; Alexandra Wood; Katrina Ligett (CSLAW, 2022)

Disambiguating Algorithmic Bias: From Neutrality to Justice. - Elizabeth Edenberg; Alexandra Wood (AIES, 2023)

An Epistemic Lens on Algorithmic Fairness. - Elizabeth Edenberg; Alexandra Wood (EAAMO, 2023)

Epistemic Injustice in Algorithmic Systems and the Limits of Civil Rights Law. - Alexandra Wood; Elizabeth Edenberg (FAccT, 2025)