Alelyani Turki
Department of Information Systems, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia.
Front Digit Health. 2024 Nov 27;6:1474692. doi: 10.3389/fdgth.2024.1474692. eCollection 2024.
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.
人工智能驱动的自主系统（AS）在社会中的普及率不断提高，且在确保安全方面发挥着越来越重要的作用，这就需要对其可信度进行评估。验证与开发社区面临着以全面、客观的方式评估人工智能驱动的自主系统可信度的挑战。为应对这一挑战，本研究对专家进行了半结构化访谈，以收集他们对医疗保健领域人工智能驱动的自主系统可信度的见解和观点。通过整合专家见解，提出了一个全面的框架，用于评估医疗保健领域人工智能驱动的自主系统的可信度。该框架旨在推动人工智能和自主系统领域可信度评估实践的发展，增强人们对其在医疗保健环境中部署的信心。
