AI Literacy is just another extension of existing principles for general Information Literacy, which encourages skill sets that empower individuals to interact constructively and ethically with information and technology, whether it is for personal, professional, or academic purposes.
AI Literacy is the ability to:
Long, D., & Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 598.
Faculty librarians at the Mansfield Library have developed a robust information literacy curriculum to help students succeed in higher education and prepare to navigate the information landscape as individuals, democratic participants, and workers in our communities. In November 2024, librarians revised the curriculum to acknowledge how AI literacy integrates into information literacy competencies.
The following table represents one of the many suggested frameworks for AI Literacy. Frameworks are intended to provide an approachable breakdown of concepts that, all together, make an AI literate individual. While the framework is intended to support you in your course development, it should not be viewed as prescriptive.
AI Literacy skill set | Provided definition | Potential current uses | |||
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"Know & Understand AI" | “Know the basic functions of AI and how to use AI applications.” | Integrating the history of AI tools; orienting students to the basic elements and limitations of Large Language Models (LLMs); identify relevant AI tools for student use in courses and when/how to use them | |||
"Use & Apply AI" | “Applying AI knowledge, concepts, and applications in different scenarios.” | Using AI as a tutor, as a reviewer of student-produced for a course, etc. | |||
“Evaluate & create [with or in] AI” | “Higher-order thinking skills (e.g., evaluate, appraise, predict, design) with AI applications.” | Evaluate the bias and accuracy of AI-produced content; create with tools that use AI technology or create AI-based tools. | |||
“AI ethics” |
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Providing space to discuss course-specific and discipline-specific intersections of ethical AI use; debating these boundaries and applications, etc. |
Table created by Oregon State University, Promoting Students' AI Literacy.
Based on Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://10.1016/j.caeai.2021.100041
Potential of AI | Concerns around AI | Example Discussion Questions |
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Generate blog posts, emails, social media posts, or website content and more based on keywords, topics, or data |
Gender and racial bias in AI algorithms |
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Create lesson plans, example problem sets, examples of content, etc. for students |
Students may cheat or rely too much on AI AI may generate false data |
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Exploring new forms of art and media from AI-generated images and creative works |
Diminished human creativity and expression Copyright or intellectual property concerns with how AI systems gather data |
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Reduction in errors in basic coding, writing samples, and so on | Lack of basic skill development and over-reliance on AI tools |
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Table is content adapted from NC State University's Teaching Resources: Developing an AI Syllabus Statement & Driving Class Discussion.
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