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 will explore a phenomenon known as algorithmic discrimination: the possibility of AI perpetuating systemic unfairness in learning resources recommended to different student populations. Panelists will 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.
Speakers:
Clarence Okoh - Senior Policy Counsel, Youth Policy, Center for Law & Social Policy (CLASP)
Cody Venzke - Senior Policy Counsel, National Political Advocacy Division, American Civil Liberties Union (ACLU)
Kristin Woelfel - Policy Counsel, Equity in Civic Technology, Center for Democracy & Technology
Moderator:
James J. Pierson - Dean, College of Business, Misericordia University; Co-Chair, Economic Justice Committee, ABA Section of Civil Rights and Social Justice
This panel is part three 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. Learn more and register at ambar.org/ai-series.
21 май 2024
