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Reliability engineering, risk management, and trustworthiness assurance for AI systems
Topical Review | 更新时间:2025-05-09
    • Reliability engineering, risk management, and trustworthiness assurance for AI systems

    • 人工智能系统的可靠性工程、风险管理与可信保障可靠性科学与工程:工程创新的催化剂
    • In the field of AI reliability engineering, this paper discusses the unique characteristics of AI systems that necessitate specialized theories and methods to create functionally reliable AI systems. Expert researchers thoroughly review five prevalent engineering mechanisms for approaching functionally reliable and trustworthy AI, which provides solutions to solve reliability and trustworthiness issues associated with AI systems.
    • Journal of Reliability Science and Engineering   Issue 2, Pages: 1-24(2025)
    • 作者机构:

      Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region of China, People's Republic of China

      The University of Tokyo, Tokyo 113-8658, Japan

      The University of Alberta, Edmonton, AB, T6G 1H9, Canada

      Department of Civil and Environmental Engineering, Vanderbilt University, Nashville, TN 37235, United States of America

    • DOI:10.1088/3050-2454/adcef2    

      CLC:
    • Received:13 January 2025

      Revised:2025-04-16

      Accepted:21 April 2025

      Published Online:29 April 2025

      Published:2025

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  • Xiaoge Zhang, Tao Wang, Lei Ma, et al. 人工智能系统的可靠性工程、风险管理与可信保障可靠性科学与工程:工程创新的催化剂[J]. 可靠性科学与工程学报(英文), 2025, 1: 022001. DOI: 10.1088/3050-2454/adcef2.

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