Scaling Artificial Intelligence Literacy
Journal
ACIS Conference Proceedings
Type
conference paper
Date Issued
2024-12-10
Author(s)
Abstract
The specific facets of artificial intelligence (AI) and the human-like nature of generative AI present challenges, such as the changing dynamics of agency, that must be addressed. With rapid technological advancements and increasing speed of AI adoption, non-experts need to become AI literate. However, a comprehensive summary of the manifold elements of AI literacy has not yet been elaborated. This work follows the tradition of taxonomy development in information systems research. Thus, an AI literacy taxonomy is developed based on a literature review and supplementary content from AI online courses and validated through interviews with AI leaders. The artifact is organized into knowledge and skills dimensions regarding technical specialties, technology management, business function, and interpersonal aspects. It differentiates between comprehension, use, and specialization constructs, which align with cognitive processes. In total, 21 dimensions and 58 characteristics specify AI literacy, providing a holistic overview of its complex nature.
Keywords
Artificial Intelligence
Generative Artificial Intelligence
AI Literacy
Digital Literacy
Literature Review
Official URL
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Name
Scaling Artificial Intelligence Literacy.pdf
Size
343.28 KB
Format
Adobe PDF
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