New Chancellor Day Hall
3644 Peel Street
Canada H3A 1W9
ignacio.cofone [at] mcgill.ca (Email)
Ignacio Cofone is an Assistant Professor at McGill University's Faculty of Law, where he teaches Privacy Law, Business Associations, and Artificial Intelligence Law. His research explores how the law should adapt to technological and social change with a focus on privacy and algorithmic decision-making. In his latest projects, he proposes how to evaluate harm in privacy class actions and how to prevent algorithmic discrimination.
Before joining McGill, Cofone was a research fellow at the NYU Information Law Institute, a resident fellow at the Yale Law School Information Society Project, and a legal advisor for the City of Buenos Aires. He obtained his law degree from Austral University, an MA from the University of Bologna, a joint PhD from Erasmus University Rotterdam and Hamburg University, where he was an Erasmus Mundus Fellow, and an LLM and JSD from Yale Law School. In 2020, he was appointed a Norton Rose Fulbright Faculty Scholar.
- "Nothing to Hide, but Something to Lose", 70.1 University of Toronto Law Journal 64 (2020).
- "Strategic Games and Algorithmic Secrecy", 64.4 McGill Law Journal (2019) [with Katherine Strandburg].
- "Algorithmic Discrimination is an Information Problem", 70 Hastings Law Journal 1389 (2019).
- "Antidiscriminatory Privacy", 72 SMU Law Review 139 (2019).
- "Servers and Waiters: What Matters in the Law of A.I.," 21 Stanford Technology Law Review 167 (2018).
- JSD, Yale Law School, 2018
- LLM, Yale Law School, 2016
- PhD, Erasmus University Rotterdam and Hamburg University, 2015
- MA, University of Bologna, 2012
- LLB, Austral University, 2010
- Assistant Professor, McGill University, Faculty of Law, 2018-
- Post-doctoral Research Fellow, NYU Information Law Institute, 2017-2018
- Resident Fellow, Yale Law School Information Society Project, and Teaching Fellow, Yale University, 2015-2017
- Legal Advisor, Government of the City of Buenos Aires, 2010-2011
Areas of Interest
Information Privacy, Artificial Intelligence (AI), Anti-discrimination