AI Didn’t Eat My Homework (But It Helped)

In this episode we explore how schools can embrace AI without losing sight of what education is actually for.We sit down with Chris Lehmann, founder and principal of Philadelphia’s Science Leadership Academy (SLA), an inquiry-driven, project-based school built around five core values: inquiry, research, collaboration, presentation, and reflection. Our conversation examines how those values are shaping SLA’s approach to AI—and why decisions about what students can outsource to AI ultimately require schools to be much clearer about what they want students to learn and become.Topics covered:How SLA’s inquiry-driven, project-based, caring model shapes its approach to AISLA’s approach to AI, citation, and plagiarismHow AI can support students during long-term projects and senior capstonesWhat students should—and shouldn’t—outsource to AIHow technology, algorithms, and information overload are changing what students need from schoolsWhy AI forces educators to reconsider the deeper purpose of schoolHow schools can preserve student thinking, agency, and human relationships as AI becomes more capableSource:https://2027.educon.org/