Data Is Power: Students as AI Ethics Researchers

This session at the intersection of critical data literacy, AI ethics, and mathematics education examined programs that equiped students and educators to interrogate data-driven technologies. Panelists shared their experiences applying mathematical concepts—such as proportional reasoning and sampling—to evaluate algorithmic bias and its social impact. The discussion highlighted the implications of AI usage for equity and representation, and pointed to pathways for connecting data literacy to policy advocacy. Practical strategies for collaboration were shared that emphasized the roles of educators, researchers, industry, and community members in preparing young people for civic leadership in an increasingly AI-mediated society.​