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Generative AI Literacy: A Comprehensive Framework for Literacy and Responsible Use

Authors
Chengzhi Zhang,
Brian Magerko
Date
Publisher
arXiv
After the release of several AI literacy guidelines, the rapid rise and widespread adoption of generative AI, such as ChatGPT, Dall E, and Deepseek, have transformed our lives. Unlike traditional AI algorithms (e.g., convolutional neural networks, semantic networks, classifiers) captured in existing AI literacy frameworks, generative AI exhibits distinct and more nuanced characteristics. However, a lack of robust generative AI literacy is hindering individuals ability to evaluate critically and use these models effectively and responsibly. To address this gap, we propose a set of guidelines with 12 items for generative AI literacy, organized into four key aspects: (1) Guidelines for Generative AI Tool Selection and Prompting, (2) Guidelines for Understanding Interaction with Generative AI, (3) Guidelines for Understanding Interaction with Generative AI, and (4) Guidelines for High Level Understanding of Generative AI. These guidelines aim to support schools, companies, educators, and organizations in developing frameworks that empower their members, such as students, employees, and stakeholders, to use generative AI in an efficient, ethical, and informed way.
Study at a glance
  • Question: What guidelines are needed to help individuals understand and use generative AI effectively and responsibly?
  • Setting and data: Not stated in the abstract
  • Method: Not stated in the abstract
Why it matters

Existing AI literacy frameworks capture traditional AI, but generative AI exhibits distinct characteristics. A lack of robust generative AI literacy hinders individuals from critically evaluating and using these models effectively and responsibly.

Key findings
  • Generative AI literacy encompasses 12 guideline items covering tool selection, prompting, user interaction, and high-level conceptual understanding.
  • Generative AI features distinct, nuanced characteristics that traditional artificial intelligence literacy frameworks do not address.
  • A lack of robust generative AI literacy hinders individuals from critically evaluating and responsibly using generative tools.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

Who is the user?
Study design