Generative AI Literacy: Twelve Defining Competencies
Annapureddy, Ravinithesh, Fornaroli, Alessandro, Gatica-Perez, Daniel
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Nov-29-2024
- Country:
- Africa > Ghana (0.04)
- North America > United States
- Washington > King County
- Seattle (0.04)
- Pennsylvania > Allegheny County
- Pittsburgh (0.04)
- New York > New York County
- New York City (0.05)
- Louisiana > Orleans Parish
- New Orleans (0.04)
- Illinois > Cook County
- Chicago (0.04)
- Hawaii > Honolulu County
- Honolulu (0.04)
- California > Alameda County
- Berkeley (0.04)
- Washington > King County
- Europe
- Asia
- Middle East > Jordan (0.04)
- Japan > Honshū
- Kantō > Kanagawa Prefecture > Yokohama (0.04)
- Genre:
- Overview (1.00)
- Instructional Material (1.00)
- Research Report > New Finding (0.67)
- Industry:
- Technology: