Leo S Lo's AI Literacy Framework

This infographic presents **Leo S. Lo’s AI Literacy Framework**, a practical model for building AI competence as accountable judgment rather than tool familiarity alone. It defines five domains that learners need to develop in parallel: technical knowledge (how AI works at a basic level), ethical awareness (values, bias, privacy), critical thinking (assessing sources, data, assumptions, and outputs), practical skills** (effective use plus knowing when to rely on human decisions), and societal impact (how AI reshapes culture, power, the economy, and the environment). The framework also maps a four level progression of mastery across each domain: Awareness, Understanding, Application, and Strategy. At early levels, learners can define key AI terms, recognize common ethical issues, and spot basic limitations. At intermediate levels, they explain how systems learn, apply ethical frameworks, and use evaluation criteria to detect bias. At the application level, they compare approaches for real use cases, integrate tools into workflows, and test outputs against standards and assumptions. At the strategy level, they anticipate trends, develop governance and policies, and advance equitable deployment and evidence based critique. Based on the article, "AI Literacy: A Guide for Academic Libraries" by Leo S. Lo in College & Research Libraries News Vol 86, No 3 (2025). DOI: https://doi.org/10.5860/crln.86.3.120