What is AI Literacy? Competencies and Design Considerations (2020)

This article by Duri Long and Brian Magerko from the Georgia Institute of Technology explores AI literacy by defining essential competencies for interacting with AI technologies and suggests design considerations for creating learner-centered AI tools. It integrates insights from a wide range of interdisciplinary literature to provide a detailed conceptual framework for understanding and teaching AI literacy effectively.

Main Takeaways:

  • Definition of AI Literacy: AI literacy is described as the set of competencies necessary to understand, evaluate, and interact effectively with AI technologies. This includes critical evaluation, effective communication, and the practical application of AI across different aspects of life.
  • Competencies for AI Literacy: The framework includes competencies such as recognizing AI in various technologies, understanding the principles of machine learning, and appreciating the ethical dimensions of AI.
  • Design Considerations: The article emphasizes designing AI educational tools that are accessible and engaging, recommending strategies such as the use of explainable AI to demystify complex algorithms and promote deeper understanding.
  • Ethical and Social Implications: A significant focus is placed on the ethical use of AI, suggesting that education should prepare individuals to make informed decisions about AI technologies that impact society.
  • Future Directions: The authors call for ongoing research to refine these competencies and design principles as AI technologies evolve and become more integrated into society.
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