The Program on Data and Governance, a program of the Moritz College of Law and the Translational Data Analytics Institute, is proud to present Data Points: Ideas on Data, Law and Society Lecture Series, co-sponsored by the Moritz Dispute Resolution Program.
On October 1 from 2-3:15 p.m., Professor Amy Schmitz from the University of Missouri School of Law will present Data Analytics and AI in the Courts: Advancing, or Hindering, Justice?
Algorithmic tools, data analytics, and artificial intelligence (AI) are swiftly disrupting legal practice as law firms, enforcement officers, and even judges look to such data in the interest of efficiency and arguably accuracy. Nonetheless, such reliance on data and machine learning raises concerns about trust, accuracy, explainability and interpretability, privacy, reliability, robustness, safety, and security. Public distrust about AI includes the belief, backed up by real-world examples, that social biases can be automated within AI and technology will perpetuate those biases on a widespread scale. In response to these concerns, the National Institute of Standards and Technology (NIST) in the U.S., along with the EU and Canada, have begun to identify ethical practices around the use of machine learning and AI. This talk hopes to shed light on some of the benefits and risks of data analytics and AI in the courts and welcomes discussion around ideas for best practices.