Digital competence: A paradigm shift

Gino Roncaglia

Economia della Cultura, 2024, issue 2-3, 461-464

Abstract: The paper discusses the profound paradigm shift brought about by generative AI and its implications for digital competencies. The traditional architectural approach to digital competencies, exemplified by frameworks like DigComp 2.2, is challenged by the emergence of probabilistic, neural network-based AI models. Generative AI fundamentally transforms tasks such as metadata creation and accessibility, offering scalable solutions to long-standing challenges. For instance, AI can dynamically generate rich, context-specific metadata and alternative descriptions for visual content, enhancing accessibility in unprecedented ways. These developments necessitate a re-evaluation of existing competency frameworks and highlight the growing importance of AI literacy. AI literacy must extend beyond tool usage to understanding the principles underpinning generative AI. The paper illustrates these shifts through an example of image description, emphasizing the need for updated frameworks that align with AI-driven transformations in knowledge production and content management.

Keywords: Generative AI; Digital Competencies; DigComp 2.2; AI Literacy; Metadata Creation; Accessibility (search for similar items in EconPapers)
Date: 2024
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