Generative AI Literacy: Twelve Defining Competencies

2024/08/03 by Ravinithesh Reddy Annapureddy, Alessandro Fornaroli, Daniel Gática-Pérez · 1 voice · 2 citations
Medicine · Engineering · Social Sciences · #Artificial Intelligence in Healthcare and Education #Technology Assessment and Management #Ethics and Social Impacts of AI

paper · pdf · doi:10.1145/3685680

openalex publication_date 2024/08/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04

Abstract

This article 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 12 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 become familiar with generative AI and for researchers and policymakers to develop assessments, educational programs, guidelines, and regulations.

Citations

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Cited by

• Rethinking Generative AI Literacy: An Integrative, Developmental, and Dialectical Framework for K-12 Teacher Education
• Generative AI Literacy: A Comprehensive Framework for Literacy and Responsible Use

Discussions

• Annapureddy, R., Fornaroli, A., & Gatica-Perez, D. (2024). Generative AI Literacy: Twelve Defining Competencies. Digital Government: Research and Practice. doi.org/10.1145/3685... [bsky, 0 points, 1 comments]