Turki Alelyani
*The final, formatted version of the article will be published soon.
ORIGINAL RESEARCH article
Front. Digit. Health
Sec. Ethical Digital Health
Volume 6 - 2024 |
doi: 10.3389/fdgth.2024.1474692
Evaluating Trust in AI-Driven Autonomous Systems for Healthcare: An Expert-Informed Framework
Provisionally accepted- Najran University, Najran, Saudi Arabia
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.
Keywords: Autonomous Systems, artificial intelligence, framework, Trustworhiness, healthcare
Received: 02 Aug 2024; Accepted: 28 Oct 2024.
Copyright: © 2024 Alelyani. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Turki Alelyani, Najran University, Najran, Saudi Arabia
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