Today, data-driven decisions are used in everything from credit to education to housing to employment to policing and beyond. This 90-minute session will cover what AI is, how it works, different ways AI is being used today in the legal industry, and
some of the challenges with AI, focusing, in particular, on the issue of bias. Our presenter will address whether data-driven decisions are objective and fair, or whether they simply perpetuate bias and the status quo. Using the example of risk-based
assessment tools applied in the criminal justice system, she will explore how to balance the competing considerations of the need for broad, representative data sets with the need to protect individual privacy, and what technologists, lawyers, and
regulators can and should be doing to meet the challenges and opportunities inherent in data-driven decision-making.
*This webinar will be presented via Zoom - details will be sent via email once registration has been completed.
Maura R. Grossman
University of Waterloo
Maura is a Research Professor in the David R. Cheriton School of Computer Science at the University of Waterloo, in Ontario, as well as an e-discovery attorney and consultant in New York City. Previously, Grossman was of counsel at Wachtell, Lipton, Rosen
& Katz, where for 17 years, she represented Fortune 100 companies and major financial services institutions in corporate and securities litigation and white-collar criminal and regulatory investigations, and advised the firm’s lawyers and clients
on legal, technical, and strategic issues involving e-discovery and information governance, both domestically and abroad. Grossman is a well-known and influential e-discovery lawyer and a pioneer in the use and evaluation of technology-assisted review.