Generative AI Literacy: Twelve Defining Competencies
Грамотность в области генеративного искусственного интеллекта: двенадцать определяющих компетенций
2024-08-03
SCID: 54.1/cac7xd8w
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AI ethics and lawcompetency-based modeleducational programsgenerative AI literacyprompt engineering
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Abstract (AI)
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.
Key Findings
1
Embedding the competencies in educational and professional training can support informed and responsible generative AI users and creators.
2
The article introduces a competency-based model defining 12 essential competencies for generative AI literacy.
3
The competencies follow a logical progression and provide a roadmap for learning, assessment development, education, policy, guidelines, and regulation.
4
The competencies span foundational AI knowledge, prompt engineering, programming, and ethical and legal considerations.
5
The framework is intended to help individuals and institutions use and create generative AI responsibly and effectively.
Research Object
generative artificial intelligence (AI) literacy
Research Subject
the twelve defining competencies, including foundational knowledge, prompt engineering, programming, and ethical and legal skills, required for responsible interaction with generative AI
Publication Details
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2024-08-03
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References available in scid.ai4
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy2023
ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns2023
Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT2023
Transformers: State-of-the-Art Natural Language Processing2020