Deborah Hellman
There are two main strands to Deborah Hellman’s work. The first focuses on equal protection law and its philosophical justification. She is the author of When Is Discrimination Wrong? (Harvard University Press, 2008), one of the first extended explorations of the normative grounding of antidiscrimination law, which has been translated into both Korean and Japanese. In addition, she is the co-editor of The Philosophical Foundations of Discrimination Law (Oxford University Press, 2013), as well as numerous articles related to equal protection, discrimination and algorithmic fairness. Her article “Measuring Algorithmic Fairness,” was recognized by both the American Philosophical Association with the AI2050 prize for the best article on AI by an established researcher over a four-year period, and with the Jurisprudence Section award from the Association of American Law Schools. The second strand of her work focuses on campaign finance law, bribery and corruption. Her article “A Theory of Bribery” won the 2019 Fred Berger Memorial Prize (for philosophy of law) from the American Philosophical Association. In addition, she writes about the obligations of professional roles, especially in the context of clinical medical research.
Hellman is currently the President of Nomos: The American Society of Political and Legal Philosophy. In addition, she is an Associate Editor of the journal Law and Philosophy, a member of the Board of Visitors of the Rockefeller Center at Dartmouth College, and a member of the American Law Institute, among other commitments.
Hellman has held several fellowships and visiting professorships, including the following: She was a fellow at the Woodrow Wilson International Center for Scholars (2005-06) and the Eugene P. Beard Faculty Fellow in Ethics at the Edmond J. Safra Center for Ethics at Harvard University (2004-05), and held a National Endowment for the Humanities Fellowship for University Teachers in 1999. She was the Robert Braucher Visiting Professor of Law at Harvard Law School in 2022 and a visiting professor at the University of Pennsylvania Law School in 2007-08.
In “Corruption, Campaign Finance, and Criminal Law,” Deborah Hellman examines the legacy of Buckley v. Valeo in making the Supreme Court the final...
The term algorithmic fairness is used to assess whether machine learning algorithms operate fairly. To get a sense of when algorithmic fairness is at...