ACIS 2024 Proceedings

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, it is essential for non-experts to become AI literate. However, a comprehensive summary of the manifold attributes 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.

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