What AI is revealing about education, what education must confront about itself (vanessaandreotti.substack.com)

At UNESCO’s Digital Learning Week, a keynote addressed the critical intersections between AI and education, emphasizing the need for collective inquiry into the implications of AI adoption in educational settings. The discussions highlighted persistent tensions: balancing child protection with evolving agency, ensuring technological sovereignty amidst dependency on external infrastructures, and the challenge of interpreting opaque AI systems. Educators and students alike voiced concerns about ecological costs, the right to disengage from AI, and the underlying biases present in educational systems that predate AI’s arrival. This discourse is significant for the AI/ML community as it unveils the broader implications of integrating AI into educational frameworks. The keynote stressed that AI, rather than merely being a tool, reflects and amplifies existing educational contradictions, raising essential questions about how AI systems can shape learner identities and institutions' responsibilities. Furthermore, it posited that genuine engagement with technology should not lead to passive acceptance or outright rejection, but rather foster discernment regarding the dependencies we cultivate, the values we uphold, and the form of knowledge we prioritize. As AI's scalability and risks intensify, the AI community is tasked with considering these dimensions critically to ensure ethical and equitable educational outcomes.