AI literacy is a critical skill, yet teaching students to identify hallucinations, limitations, and ethical concerns without demonizing AI use entirely is a delicate balance. This session introduces a hands-on lesson plan in which students use Large Language Models (LLMs) to generate autobiographies, designed to help them confront privacy concerns, understand information creation, and critically evaluate AI tools. Using themselves as subjects, students become instant experts in fact-checking, easily spotting manufactured details and misinformation. Attendees will receive a lesson scaffold mapped to the ACRL Framework, modifications for any teaching context, and classroom-tested tips and tricks.
Participants will: 1. Outline the challenges of engaging with students about AI use as a research tool and its inherent limitations, environmental impact, and ethical concerns 2. Describe specific plans and tools that can be applied to their own teaching and libraries to help students build AI literacy 3. Analyze strategies to connect with students in the participant's unique context in a way that is both effective and engaging, while building strong connections rather than fear-based or adversarial relationships
