Establishing trust in artificial intelligence-driven autonomous healthcare systems: an expert-guided framework

The increasing prevalence of Autonomous Systems (AS) powered by Artificial Intelligence (AI) in society and their expanding role in ensuring safety necessitate the assessment of their trustworthiness. The verification and development community faces the challenge of evaluating the trustworthiness of AI-powered AS in a comprehensive and objective manner. To address this challenge, this study conducts a semi-structured interview with experts to gather their insights and perspectives on the trustworthiness of AI-powered autonomous systems in healthcare. By integrating the expert insights, a comprehensive framework is proposed for assessing the trustworthiness of AI-powered autonomous systems in the domain of healthcare. This framework is designed to contribute to the advancement of trustworthiness assessment practices in the field of AI and autonomous systems, fostering greater confidence in their deployment in healthcare settings.

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Publication Details

Journal
Frontiers in Digital Health
Published
2024-11-27
DOI
https://doi.org/10.3389/fdgth.2024.1474692
Citations
13
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.56
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article

Establishing trust in artificial intelligence-driven autonomous healthcare systems: an expert-guided framework

Turki Alelyani
13 citations
Frontiers in Digital Health
Artificial Intelligence in Healthcare and Education
1.56
article

Establishing trust in artificial intelligence-driven autonomous healthcare systems: an expert-guided framework

Turki Alelyani
article en
13 citations

Abstract

The increasing prevalence of Autonomous Systems (AS) powered by Artificial Intelligence (AI) in society and their expanding role in ensuring safety necessitate the assessment of their trustworthiness. The verification and development community faces the challenge of evaluating the trustworthiness of AI-powered AS in a comprehensive and objective manner. To address this challenge, this study conducts a semi-structured interview with experts to gather their insights and perspectives on the trustworthiness of AI-powered autonomous systems in healthcare. By integrating the expert insights, a comprehensive framework is proposed for assessing the trustworthiness of AI-powered autonomous systems in the domain of healthcare. This framework is designed to contribute to the advancement of trustworthiness assessment practices in the field of AI and autonomous systems, fostering greater confidence in their deployment in healthcare settings.

Frontiers in Digital HealthVol. 6
Najran University (SA)
Partnerships for the goals
Openalex Percentile: Top 16%
Artificial Intelligence in Healthcare and Education
1.56
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