Webinar: Battling AI bias in the classroom

Artificial intelligence is being heralded by many for its transformative potential in education, offering personalised learning experiences and more efficient school administration. But as AI use becomes more widespread, so do concerns about bias.
Bias in AI algorithms can perpetuate inequalities, affecting student outcomes and reinforcing societal prejudices. Addressing this AI bias requires a nuanced approach, including ethical guidelines, diverse datasets and rigorous testing. In this webinar, we discuss some of the ways that education systems can safeguard against the unintended consequences of AI and promote equitable educational practices.
Speakers include:
Tiera Tanksley, Post Doctoral Fellow in Youth, Technology and Public Policy, UCLA
Jeremy Roschelle, Executive Director of Learning Sciences Research at Digital Promise
Eleanor Drage, Senior Research Fellow at the University of Cambridge Leverhulme Centre for the Future of Intelligence
Stéphan Vincent-Lancrin, Senior Analyst and Deputy Head of Division at the OECD Directorate for Education and Skills
Moderated by Sasha Ramirez-Hughes, Communication Manager, Directorate for Education and Skills, OECD