AI Literacy Framework

The AI Literacy Framework by Long & Magerko (2020) outlines the essential knowledge and skills required to understand, critically evaluate, and effectively use artificial intelligence in everyday life and work.

Conceptual Knowledge
  • What AI is and isn’t.
  • AI’s capabilities and limits.
  • Basics of ML and algorithms.
  • Ethical concerns like bias.
Practical Skills
  • Using AI tools effectively.
  • Evaluating AI critically.
  • Communicating tasks clearly.
  • Creative AI usage.
Educational Goals
  • Make informed decisions in AI contexts.
  • Participate in civic AI discussions.
  • Foster creative and active AI use.
Technical Understanding
  • Basic AI concepts knowledge.
  • Awareness of AI’s strengths and limits.
Critical Thinking
  • Analyze AI outputs critically.
  • Spot bias, errors, and black-box issues.
Ethical & Societal Awareness
  • Understand privacy and fairness.
  • Recognize surveillance and discrimination.
Practical Application Skills
  • Use AI tools appropriately.
  • Understand human-AI interaction.
Communication & Collaboration
  • Discuss AI topics clearly and responsibly.
  • Engage in informed AI conversations.

Source: The original AI Literacy Framework paper by Long & Magerko (2020). Read it here: Long, D., & Magerko, B. (2023). AI Literacy in K-12: A Framework for Action. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2023) (pp. 830–831). Association for Computing Machinery. https://doi.org/10.1145/3544549.3573808

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