While the use of algorithms has proven incredibly valuable in a range of applications, their implementation can often lead to harmful discriminatory outcomes. Dr. Ignacio Cofone, assistant professor at McGill University Faculty of Law, joins the show to discuss how this happens, as well as potential policy solutions for minimizing discrimination without hindering the use of algorithms. For more, see his papers: “Antidiscriminatory Privacy,” “Algorithmic Discrimination Is an Information Problem,” and “Nothing to Hide, but Something to Lose,” and his op-ed in the Hill, “Privacy Law Needs Privacy Harms.”
While the use of algorithms has proven incredibly valuable in a range of applications, their implementation can often lead to harmful discriminatory outcomes. Dr. Ignacio Cofone, assistant professor at McGill University Faculty of Law, joins the show to discuss how this happens, as well as potential policy solutions for minimizing discrimination without hindering the use of algorithms. For more, see his papers: “Antidiscriminatory Privacy,” “Algorithmic Discrimination Is an Information Problem,” and “Nothing to Hide, but Something to Lose,” and his op-ed in the Hill, “Privacy Law Needs Privacy Harms.”