Generative AI Literacy: Twelve Defining Competencies
Ravinithesh Annapureddy, Alessandro Fornaroli, and Daniel Gatica-Perez

TL;DR
This paper presents a comprehensive competency framework for generative AI literacy, outlining essential skills and knowledge areas to promote responsible and informed use, creation, and regulation of generative AI technologies.
Contribution
It introduces a novel, structured set of twelve competencies that serve as a roadmap for education, policy, and research in generative AI literacy.
Findings
Defines twelve core competencies for generative AI literacy.
Provides a framework for educational and policy development.
Guides responsible AI interaction and creation.
Abstract
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…
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