I write about things! Below is a selection of formally published pieces that I’m especially proud of.

For a complete list, please see my CV.

Law

Kendra Albert, Imagine a Community: Obscenity’s History and Moderating Speech Online, 25 Yale J.L. & Tech. Special Issue 59 (2023).
Kendra Albert, Five Reflections from Five Years of FOSTA/SESTA, 40 Cardozo Arts and Entertainment Law Review 413 (2022).
Kendra Albert, Accidental Abolition?: Section 230’s Elimination of State Criminal Law and Abolition Feminism, forthcoming in Feminist Cyberlaw, 2022. (preprint)
Kendra Albert & Avatara Smith-Carrington, Bomb Body Politics: On the TSA’s Algorithmic Policing of Gender, 33 University of Florida Journal of Law & Public Policy 213 (2022).
Kendra Albert, et al., FOSTA in Legal Context, 52 Columbia Human Rights Law Review 1084 (2021).
Kendra Albert, Computer Security Tools and Concepts for Lawyers, The Green Bag (vol. 20, no. 2) (2017).

Opinion

Kendra Albert & James Grimmelmann, Do the Right Thing, Communications of the ACM (2023).
Mahsa Alimardani, Kendra Albert, & Afsaneh Rigot, Big Tech Should Support the Iranian People, Not the Regime The New York Times (Sep. 3, 2022).
Kendra Albert, Not A Crime: The CFAA and Respectability Politics, Tech Policy Press (January 3, 2022).

Kendra Albert & Maggie Delano, Algorithmic Exclusion, forthcoming in Handbook of Critical Studies of Artificial Intelligence, 2022. (preprint)
Kendra Albert & Maggie Delano, Sex Trouble: Sex/Gender Slippage, Sex Confusion, and Sex Obsession in Machine Learning Using Electronic Health Records, Cell Patterns, 2022.
Kendra Albert & Maggie Delano, “This Whole Thing Smacks of Gender”: Algorithmic Exclusion in Bioimpedance-based Body Composition Analysis, ACM Conference on Fairness, Accountability, and Transparency 2021 (presentation), 2021.
Kendra Albert et al., Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning, NeurIPS 2020 Workshop on Dataset Curation and Security (selected for presentation), 2020.
Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, & Kendra Albert, Legal Risks of Adversarial Machine Learning Research, ICML 2020 Workshop on Law & Machine Learning (selected for oral presentation), 2020.
Kendra Albert et al., Politics of Adversarial Machine Learning, ICLR 2020 Workshop on Towards Trustworthy Machine Learning: Rethinking Security and Privacy for ML (selected for oral presentation), 2019.