Algorithms have a substantial impact on everything happening around us. Most everyone would agree that the impact of algorithms, computational technologies, and artificial intelligence on everyday life, institutions, and society will only grow, and rapidly. Yet most law students and lawyers lack the foundational knowledge to generally explain how these technologies work, much less assess them.
One way to address this is to teach law students about artificial intelligence and computational technologies. I’m teaching several courses in this arena at Northwestern Pritzker School of Law this year, beginning with “Artificial Intelligence and Legal Reasoning” this fall.
Each class meeting includes discussion about the effectiveness of these technologies, in the proper context of the status quo, and related ethical questions. Additionally, we will spend two full class meetings discussing technical assessment (recall, precision, F1 score, etc.) and broader questions about the use of algorithms, computational technologies, and artificial intelligence in legal-services delivery and society (transparency, explainability, auditability, provenance, bias, fairness, etc.).
I had the opportunity to introduce these topics during multiple talks this summer, beginning with “Demystifying and Assessing Artificial Intelligence” at the launch of the LawAhead Hub think tank at IE Law School in Madrid. The event attracted a variety of leaders, primarily from international law firms and the legal departments of major corporations.