Ignacio Cofone

Website: www.ignaciocofone.com
SSRN: ssrn.com/author=2339281
Twitter: @IgnacioCofone

Biography

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.

Recent Publications

• "Nothing to Hide, but Something to Lose," 69 University of Toronto Law Journal (2019, forthcoming). 
• "Algorithmic Discrimination is an Information Problem," 70 Hastings Law Journal (2019)
• "Servers and Waiters: What Matters in the Law of A.I.," 21 Stanford Technology Law Review 167 (2018).
• "Privacy," in Encyclopedia of Law and Economics (A. Marciano & G.B. Ramello, eds., 2018).

Education

• 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

Employment

• 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