This program will explore the manner in which machine-learning technologies contribute to the formation of algorithmic knowledge in a variety of legal fields, including criminal justice, evidence, and litigation. The data assumptions underlying such predictive analytics are often problematic–whether for encoding human bias, or for being shielded from review by intellectual property protections. The failure of artificial intelligence technologies to account for informational asymmetries thus poses unique threats to our democratic institutions and justice system. However, artificial intelligence technologies have also shown great promise to promote equality, efficiency, and access to justice in law. This program will thus examine possible responses by lawyers and legal institutions to the challenges posed by machine-learning.
Business meeting at program conclusion.