Generative AI Literacy: Twelve Defining Competencies
It addresses the problem of equipping individuals, educators, and policymakers with essential skills for responsible use of generative AI, though it is incremental as it builds on existing literacy frameworks.
The paper tackles the need for structured skills in generative AI by proposing a competency-based model with twelve defined areas, ranging from foundational literacy to ethical considerations, to guide education and policy.
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.