Teaching and Learning with AI Conference

Students often overtrust or dismiss AI outputs, lacking the critical skills to assess model reliability, bias, and limitations. This session presents a framework that uses AI system cards, model cards, and technical reports to teach critical thinking. By analyzing how training data, design decisions, and ethical trade-offs shape AI behavior, students learn to evaluate outputs with informed skepticism, building trust through understanding and preparing for thoughtful, responsible collaboration with AI in academic and professional contexts.