Aufsatz(elektronisch)14. März 2024

Three different types of AI hype in healthcare

In: AI and ethics, Band 4, Heft 3, S. 833-840

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Abstract

AbstractHealthcare systems are the embodiment of big data – as evident in the logistics of resource management, estate maintenance, diagnoses, patient monitoring, research, etc. – such that human health is often heralded as one of the fields most likely to benefit from AI. Yet, the prevalence of hype – both positive and negative – risks undermining that potential by distracting healthcare policy makers, practitioners, and researchers from many of the non-AI factors that will determine its impact. Here we categorise AI hype in healthcare into three types that include both utopian and dystopian narratives and plot a series of more productive paths ahead by which to realise the potential of AI to improve human healthcare.

Sprachen

Englisch

Verlag

Springer Science and Business Media LLC

ISSN: 2730-5961

DOI

10.1007/s43681-024-00465-y

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