What Can We Do About (and With) AI? Education as a Case Study
When generative AI first emerged, educators responded by forming collaborative networks, sharing resources, and creating spaces for critical discussion. This talk explores how these communities have shaped AI implementation through collective learning and peer support, recognizing that the existence of generative AI has an emotional impact on educators and also offers an opportunity for self-reflection on philosophies, values, and meaningful learning. We’ll examine how educators balance practical experimentation with critical analysis, teaching both with and about AI while addressing issues of bias, access, and labor. The session demonstrates how professionals in any discipline can approach new technologies democratically by building on existing networks, prioritizing community knowledge over corporate narratives, and ensuring that those most affected by AI participate in shaping its use.
