mlsanityData to 14 Oct 2026

Generative AI Literacy: Twelve Defining Competencies

arXiv 2412.12107 ↗First posted 29 Nov 2024cs.HC cs.AIcited by 13

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Abstract (arXiv)

This paper introduces a competency-based model for generative artificial intelligence (AI) literacy covering essential skills and knowledge areas necessary to interact with generative AI. The competencies range from foundational AI literacy to prompt engineering and programming skills, including ethical and legal considerations. These twelve competencies offer a framework for individuals, policymakers, government officials, and educators looking to navigate and take advantage of the potential of generative AI responsibly. Embedding these competencies into educational programs and professional training initiatives can equip individuals to become responsible and informed users and creators of generative AI. The competencies follow a logical progression and serve as a roadmap for individuals seeking to get familiar with generative AI and for researchers and policymakers to develop assessments, educational programs, guidelines, and regulations.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 21 of its 107 references that are in the map. First posted on arXiv 29 Nov 2024.

Builds on

21 of 107 references.

References · 21

  1. 2022Large Language Models are Zero-Shot Reasonerscited by 4,374
  2. 2021Learning to Prompt for Vision-Language Modelscited by 2,281
  3. 2021Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processingcited by 2,234
  4. 2019An Introduction to Variational Autoencoderscited by 1,000
  5. 2023Multimodal Chain-of-Thought Reasoning in Language Modelscited by 752
  6. 2023A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTcited by 619
  7. 2021Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigmcited by 606
  8. 2017Generative Adversarial Networks: An Overviewcited by 590
  9. 2022Prompting GPT-3 To Be Reliablecited by 260
  10. 2023Large Language Model Guided Tree-of-Thoughtcited by 221
  11. 2021Design Guidelines for Prompt Engineering Text-to-Image Generative Modelscited by 218
  12. 2022Ask Me Anything: A simple strategy for prompting language modelscited by 155
9 more
  1. 2023Regulating ChatGPT and other Large Generative AI Modelscited by 104
  2. 2023Testing of Detection Tools for AI-Generated Textcited by 90
  3. 2023Review of Large Vision Models and Visual Prompt Engineeringcited by 77
  4. 2020Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examplescited by 66
  5. 2020DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythmscited by 65
  6. 2023Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Educationcited by 41
  7. 2024The Social Impact of Generative AI: An Analysis on ChatGPTcited by 18
  8. 2023ChatGPT in education: A discourse analysis of worries and concerns on social mediacited by 12
  9. 2024Generative AI is already widespread in the public sectorcited by 10

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 6; 2026: 7.

13 papers.

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  1. 2025Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistenciescited by 39
  2. 2025The AI Literacy Heptagon: A Structured Approach to AI Literacy in Higher Educationcited by 3
  3. 2025Use Me Wisely: AI-Driven Assessment for LLM Prompting Skills Developmentcited by 2
  4. 2025Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Modelscited by 2
  5. 2026"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplacecited by 2
  6. 2025Toward Human-Centered AI-Assisted Terminology Workcited by 1
  7. 2026What is Safety? Corporate Discourse, Power, and the Politics of Generative AI Safetycited by 1
  8. 2026Framing, Judging, Steering: An Assessable Competency Model for Teach-ing Students to Reason With Generative AIcited by 1
  9. 2025AI Literacy for Legal AI Systems: A practical approachcited by 0
  10. 2026Generativism: Toward a Learning Theory for the Age of Generative Artificial Intelligencecited by 0
  11. 2026The GenAI Skill Bypass: Mapping Divergent Pathways of University Students and Staff AI Literacycited by 0
  12. 2026Introducing Human-Centeredness in AI-Assisted Lexicographycited by 0
1 more
  1. 2026Rethinking Generative AI Literacy: An Integrative, Developmental, and Dialectical Framework for K-12 Teacher Educationcited by 0