Many librarians have mixed feelings about artificial intelligence - common concerns include the potential for biased or inaccurate information, cognitive and environmental harms, and issues with privacy, exploitation, and copyright. This presentation will discuss how to explore these concerns with students using a Critical AI Literacy lens. In the information literacy context, Critical AI Literacy examines the economic, sociocultural, and political dimensions of how information is mediated on artificial intelligence platforms. This presentation will describe how two librarians are implementing and assessing Critical AI Literacy outcomes alongside "traditional" AI literacy research skills in both the one-shot and credit-bearing environments.
Participants will: 1. Discuss what learning outcomes and goals might be included under the umbrella of Critical AI Literacy 2. Explore how Critical AI Literacy outcomes might fit into both one-shot and credit bearing information literacy instruction 3. Consider how they might implement Critical AI Literacy outcomes in their own situational and institutional contexts
