Unlocking the black box: Enhancing human-AI collaboration in high-stakes healthcare scenarios through explainable AI

Despite the advanced predictive capabilities of artificial intelligence (AI) systems, their inherent opacity often leaves users confused about the rationale behind their outputs. We investigate the challenge of AI opacity, which undermines user trust and the effectiveness of clinical judgment in hea...

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Vydané v:	Technological forecasting & social change Ročník 219; s. 124265
Hlavní autori:	Hassan, Reda, Nguyen, Nhien, Finserås, Stine Rasdal, Adde, Lars, Strümke, Inga, Støen, Ragnhild
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.10.2025
Predmet:	Decision making Explainable AI (XAI) Medical diagnosis Opacity Professional judgment Trust in AI Uncertainty Uncertainty Professional judgment Decision making Explainable AI (XAI) Opacity Medical diagnosis Trust in AI
ISSN:	0040-1625
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