Ravinithesh Annapureddy Idiap Research Institute, Martigny, Switzerland
EPFL, Lausanne, Switzerland
Alessandro Fornaroli Idiap Research Institute, Martigny, Switzerland
Daniel Gatica-Perez Idiap Research Institute, Martigny, Switzerland
EPFL, Lausanne, Switzerland
Source
Digital Government: Research and Practice
DOI: 10.1145/3685680
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 assessments, educational programs, guidelines, and regulations.
Fig. 1. Diagram of the 12 generative-AI competencies Source: 10.1145/3685680
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area.
He earned his MLIS degree from Wayne State University in Detroit.
Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.
