Generative AI Literacy: A Comprehensive Framework for Literacy and Responsible Use
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ID: 283249
2025
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Abstract
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.
| Reference Key |
magerko2025generative
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| Authors | Chengzhi Zhang; Brian Magerko |
| Journal | arXiv |
| Year | 2025 |
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