Information Literacy: AI in Higher Education: AI and Literacy

Information Literacy & AI in Higher Education

Information literacy is the ability to find, evaluate, and use information ethically. The American Library Association’s Framework for Information Literacy in Higher Education (2015) emphasizes critical thinking, source evaluation, and research as an iterative and strategic process.

With the rise of artificial intelligence (AI), these skills are evolving. AI can enhance access to information, streamline research, and support data analysis. It can help students assess authority, understand how information is created, and explore topics strategically.

However, AI also introduces challenges like algorithmic bias, data privacy, and the need for critical evaluation. Students must understand both the strengths and limitations of AI tools to use them responsibly and effectively.

Defining AI Literacy

• AI Literacy means understanding how AI systems work and interpreting their outputs critically.
• You don’t need to know the technical details—just be informed and skeptical of AI-generated content.

Critical AI Information Literacy

This involves examining how AI systems are built and used and recognizing the social and ethical impacts they may have. It encourages awareness of both the risks and opportunities AI presents.

Evaluating AI-Generated Information

To assess the reliability and validity of AI outputs:

• Author: AI has no human author. Check the developers’ credibility and whether the system explains its reasoning.
• Purpose: AI responds to user prompts. Be cautious because results may be misleading or incorrect.
• Citations: AI tools often lack accurate citations. Always cross-check with trusted sources.
• Date & Location: AI may not reflect current or localized information. Verify using up-to-date references.