Ignacio Cofone

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

Biography

Ignacio Cofone is an Assistant Professor and Canada Research Chair in Artificial Intelligence Law & Data Governance at McGill University's Faculty of Law, where he teaches Privacy Law, Artificial Intelligence Regulation, and Advanced Obligations. His research focuses on privacy harms and on algorithmic decision-making to explore how the law should adapt to technological and social change. In his current projects, he examines how to evaluate standing and compensation in privacy class actions and how to prevent algorithmic discrimination.

Before joining McGill, Professor 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 a joint Ph.D. (rer pol) from Erasmus University Rotterdam and Hamburg University, where he was an Erasmus Mundus Fellow, and a J.S.D. from Yale Law School. While at McGill, he was a Norton Rose Fulbright Faculty Scholar (2020-2021) and received the Canadian Institute for the Administration of Justice Charles Gonthier Fellowship (2019), the Future of Privacy Forum Best Privacy Papers for Policymakers award (2019), and the Council of Europe Stefano Rodota Award Special Mention (2021).

Recent publications

• "Privacy Standing", 2022 University of Illinois Law Review (forthcoming 2022).
• "Beyond Data Ownership", 43 Cardozo Law Review 101 (2021).
• "Immunity Passports and Contact Tracing Surveillance" 24 Stanford Technology Law Review 176 (2021).
• "AI in Judicial Decision-Making, 102 Supreme Court Law Review 21 (2021). [Originally published in AI & the Law in Canada" (Florian Martin-Bariteau & Teresa Scassa eds., 2021).]
• "Privacy", in Encyclopedia of Law and Economics (Alain Marciano & Giovanni Battista Ramello eds., 2nd ed., 2021).
• "Nothing to Hide, but Something to Lose", 70.1 University of Toronto Law Journal 64 (2020).

Recent media mentions

• Manjula Selvarajah, “The Right To Be Forgotten for kids on the internet, in the era of oversharing,” CBC Radio (Nov. 8, 2021)
• Angelo Gio Mateo & Aliya Bhatia, “Reports find that the federal government again used surveillance at Pearson airport, this time through facial recognition. This threatens our human rights,” The Toronto Star (Jul. 29, 2021)
• David Uberti, “Canada’s Proposed Privacy Overhaul Leans Toward European-Style Rules,” The Wall Street Journal (Nov. 25, 2020)

Education

• JSD, Yale Law School, 2018
• LLM, Yale Law School, 2016
• PhD (rer.pol.), Erasmus University Rotterdam and Hamburg University, 2015
• MA, University of Bologna, 2012
• LLB, Austral University, 2010

Employment

• Canada Research Chair in A.I. Law & Data Governance, McGill University Faculty of Law, 2021-
• 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

Privacy Law, Artificial Intelligence (AI) Policy, Anti-discrimination, Behavioral Economics