The Future of AI in Education: Research, Policy, and Public Impact

Session Type: Invited Speaker Session

Abstract

As artificial intelligence continues to reshape education, most conversations emphasize innovation while overlooking equity concerns, critical policy questions, and broader societal impacts. This session brings together leading scholars and practitioners from sociology, learning sciences, science and technology studies, policy, and philanthropy for a timely cross-sector dialogue. Panelists will address four high-priority areas for advancing equity in educational research on AI: what is currently known from empirical studies; ethical and social implications from STS perspectives; sociological and historical contexts; and policy considerations for K–12 and higher education. Through short spark talks and moderated discussion, the session will highlight both the risks and opportunities AI presents, and probe how research and policy can work together to shape more equitable educational systems.

Sub Unit

• AERA Presidential Session

Chairs

• Na'ilah Suad Nasir, Spencer Foundation

• Sepehr Vakil, Northwestern University

Papers

• Spark Talk Team 1 - Victor R. Lee, Stanford University; Ibrahim Oluwajoba Adisa, Stanford University

• Spark Team 2 - Safiya Noble, University of California - Los Angeles; Tiera C. Tanksley, University of Colorado - Boulder

• Spark Team 3 - Prudence L. Carter, Brown University; Malik Boykin, Brown University

• Spark Team 4 - Allison Scott, Kapor Center for Social Impact

• Spark Team 5 - James L. Moore, National Science Foundation; Kumar Garg, Renaissance Philanthropy

Discussant

• Ezekiel J. Dixon-Roman, Teachers College, Columbia University