This program, led by Law Professor Chris Chambers Goodman, will be conducted in three parts. The first part will provide some historical background and statistics on gender representation in the legal profession and particular manifestations of gender bias. The second part will address sources of biased data in machine learning systems and some illustrations of how biases can and do impact recruiting and employment opportunities for women and other marginalized groups. The final segment will highlight some specific manifestations of gender bias against attorneys IRL (in real life). Participants will walk away with identifiable strategies for interrupting bias in the legal profession.

The AI and the Law Section is chaired by Marc Hoag.