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Journal of the European Association for Health Information and Libraries
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Artificial Intelligence and Health Information Literacy

Authors: Andrew Cox;

Artificial Intelligence and Health Information Literacy

Abstract

The proliferation of generative AI is changing health information behaviour. But the problems of accuracy and lack of transparency it has require users to develop some degree of AI literacy as an aspect of their health information literacy. There are many models of AI literacy suggesting key potential components such as knowledge of AI technologies; how to use them and evaluate outputs; how to protect one’s own safety; and ethical awareness, including of wider societal impacts. Conceiving these components as making up AI competency implies that it consists of the persistent attitudes and values of a critical information user, not the satisfied consumer that generative AI models try to create.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Published in a Diamond OA journal