How is ‘Unexplainable’ and Non-transparent AI Affecting Healthcare Delivery?

The healthcare industry is undergoing a profound transformation with the integration of artificial intelligence (AI) into various healthcare settings. However, the successful implementation of AI in healthcare is challenged by several factors, particularly the lack of transparency and explainability in current AI systems. These limitations hamper their effectiveness and reduce their adoption in the field. The key issues that require attention encompass accountability, biases, erroneous results, lack of justification of medical decisions, and the erosion of trust. This paper addresses the challenges raised by non-transparent and non-explainable AI and analyses whether these features jeopardise the responsible integration of AI into healthcare.

Publication Details

Journal
Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Published
2024-10-01
Primary Topic
Atomic and Subatomic Physics Research
Type
article
Field-Weighted Citation Impact
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article

How is ‘Unexplainable’ and Non-transparent AI Affecting Healthcare Delivery?

Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Atomic and Subatomic Physics Research
article

How is ‘Unexplainable’ and Non-transparent AI Affecting Healthcare Delivery?

article en

Abstract

The healthcare industry is undergoing a profound transformation with the integration of artificial intelligence (AI) into various healthcare settings. However, the successful implementation of AI in healthcare is challenged by several factors, particularly the lack of transparency and explainability in current AI systems. These limitations hamper their effectiveness and reduce their adoption in the field. The key issues that require attention encompass accountability, biases, erroneous results, lack of justification of medical decisions, and the erosion of trust. This paper addresses the challenges raised by non-transparent and non-explainable AI and analyses whether these features jeopardise the responsible integration of AI into healthcare.

Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Openalex Percentile: Top 56%
Atomic and Subatomic Physics Research
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How is ‘Unexplainable’ and Non-transparent AI Affecting Healthcare Delivery? · Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa) (2024) | TGRS Research Map | TGRS