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