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A Meta-Analytic NLP-Driven Mapping of Fairness in Healthcare AI
0
Zitationen
3
Autoren
2025
Jahr
Abstract
The constant and rapid evolution of AI is vastly transforming the healthcare landscape. The implementation of new and revolutionary tools is improving the services provided and offering solutions in flexible and effective ways. However, this rapid change does not allow sufficient time for ethical norms and frameworks to develop in a way that ensures fairness and equity. This paper is an attempt to map the existing research concerning fairness in AI in the field of healthcare. An automated approach incorporating NLP methods was adopted for retrieving and filtering relevant systematic literature reviews. The analysis included 11 articles, which were categorized into 5 main topics. Additionally, six areas of suggestions concerning AI in healthcare were identified in the reviewed literature. These suggestions were compared with two important legislative documents: the EU AI Act and the US AI Bill of Rights. Apart from a general alignment, some differences were revealed and discussed. Finally, unresolved issues and prospects for future research were also highlighted.
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