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VIDEO

AI in Education: Addressing Biases and Discrimination, Privacy & Surveillance

Clarence Okoh, Cody Venzke, Kristin Woelfel, and James J Pierson

As AI continues to shape the learning landscape in education, concerns regarding its potential to amplify unwanted biases have become critical. Now is the time to investigate questions prompted by the intersection between AI and education and its implications for students. In this webinar, we explore a phenomenon known as algorithmic discrimination: the possibility of AI perpetuating systemic unfairness in learning resources recommended to different student populations. Panelists also consider the implications of AI on student privacy and surveillance. With greater integration of AI into educational systems, will students be subject to greater scrutiny in the name of personalized learning? Further, what safeguards are in place to protect their rights?

Join us as we navigate the complexities of AI in education and explore potential strategies for ensuring that AI enhances, rather than detracts from, educational equity and student well-being.

This webinar is part 3 in a six-part webinar series - AI and the Legal Profession: Navigating Opportunities and Challenges - exploring the power of AI while navigating its complex legal implications.

Joint Sponsor:  ABA Task Force on Law and Artificial Intelligence
Co-Sponsors: ABA Center for Public Interest LawABA Commission on Disability RightsABA Commission on Hispanic Legal Rights & ResponsibilitiesABA Commission on Sexual Orientation and Gender IdentityABA Criminal Justice SectionABA Section of Intellectual Property LawABA Solo, Small Firm and General Practice DivisionABA Section of State and Local Government Law

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