The rapid rise in use of generative AI (GenAI) systems has sparked debate in educational settings, resulting in reactionary bans to mitigate concerns about academic dishonesty and learning outcomes. Such bans fail to address the underlying challenges AI presents while overlooking its potential benefits. This paper examines the limitations of outright bans and proposes that the successful integration of AI in education requires alignment of tasks, systems and metrics. By analyzing existing studies and real world examples, we demonstrate how thoughtfully designed AI systems can enhance learning and reduce inequalities. The paper concludes with actionable recommendations for educators and policymakers to navigate AI integration responsibly, emphasizing equity, meaningful engagement, and the need for teacher support.
Comunicación presentada en el AAAI 2025 Workshop on AI Governance (AIGOV) y publicada por The Alan Turing Institute.
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