Bridging the AI Literacy Divide

Artificial intelligence integration in education reveals a troubling paradox: while AI promises democratized learning, institutional resistance to comprehensive AI literacy creates new educational stratification. This presentation examines how stakeholder fears and fragmented approaches actively widen the digital divide across UK universities. Drawing from UNESCO-presented frameworks and conversations with key stakeholders, this talk explores twocritical dimensions. First, universities' reluctance to teach transferable AI skills creates knowledge monopolies disadvantaging students at resistant institutions. Second, educator redundancy anxiety drives institutional paralysis, forcing students toward alternative AI literacy pathways. King's College London's case studies demonstrate how student-led initiatives fill institutional voids, raising fundamental questions about educational responsibility. When universities fail to embed systematic AI literacy frameworks, students shoulder digital resilience development themselves, challenging equitable access principles. Digital resilience requires institutional responsibility rather than individual initiative. Without systematic intervention, a two-tier system emerges where only students accessing informal networks, peer societies, or private education develop competencies necessary for AI-integrated workforces. This talk offers practical strategies for overcoming institutional resistance through successful student-faculty collaborations and evidence-based approaches. Delegates gain frameworks for assessing digital maturity gaps and actionable pathways toward genuine AI education equity independent of student-driven compensation for systemic failures.