About the Event
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.
About the Speaker
Professor Amy Schmitz joined the University of Missouri School of Law and the Center for Dispute Resolution as the Elwood L. Thomas Missouri Endowed Professor of Law in 2016. Previously she was a Professor at the University of Colorado School of Law for over 16 years. Before teaching, Professor Schmitz practiced law with large law firms in Seattle and Minneapolis and served as a law clerk for the U. S. Court of Appeals for the 8th Circuit. Professor Schmitz teaches courses in Contracts, Lawyering, Online Dispute Resolution (ODR), AI, Data Analytics and the Law, Arbitration, International Arbitration, and Consumer Law (service learning). Read More
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