Description
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UNM Law Professor Series: Byte-Sized Justice: Addressing AI Bias Through the Law Date: Thursday September 12, 2024 Time: Noon - 1 p.m. Credits: 1.0 EIJ |
This webinar offers an insightful exploration into the rapidly evolving domain of legal AI technologies, with a focus on addressing bias through legal frameworks. The session will delve into the ethical implications of these technologies, particularly concerning bias and fairness. Attendees will examine recent cases involving AI bias and explore practical tech solutions and legal strategies to mitigate these issues. Join us for a deep dive into how the law can navigate and address the challenges posed by AI bias, ensuring justice and equity in legal practice.
Accessibility: Captioning is available during this webinar. To request accommodations, please contact the Center for Legal Education at 505-797-6020 or cleonline@sbnm.org at least ten business days before the event.
Speaker:
Sonia Gipson Rankin is a Professor of Law at the University of New Mexico School of Law, where she teaches Torts, Technology, and Family Law. Her work, combining a background in computer science with a focus on legal justice, has been published in the Washington and Lee Law Review, New York University Law Review Online, Nature Reviews Electrical Engineering, and Wisconsin Law Review. She is actively involved in the legal community, serving as an American Bar Foundation Fellow, a member of the New Mexico Supreme Court Commission on Equity and Justice, and a former president of the New Mexico Black Lawyers Association. Professor Gipson Rankin is part of the Interdisciplinary Working Group on Algorithmic Justice, advising on AI-related issues, and frequently speaks on topics such as AI, technology, algorithmic justice, and implicit bias. Her insights have been featured in media outlets like BBC World News, Reuters, NPR, and Yahoo! Finance, reflecting her commitment to inspiring justice and excellence.
Important information & login instructions:
- Registration closes the day before the program; registration and payment must be received prior to 10 am MT.
- After you register for the webinar, you will receive emails with instructions to join.
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