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Safety and Reliability of Artificial Intelligence Systems

In: Artificial Intelligence for Safety and Reliability Engineering

Author

Listed:
  • Thi Hien Nguyen

    (CY Cergy Paris Université)

  • Aamir Saghir

    (Budapest University of Technology and Economics, Institute of Mathematics, Department of Stochastics)

  • Kim Duc Tran

    (Dong A University)

  • Dac Hieu Nguyen

    (Dong A University
    Thuyloi University)

  • Nguyen Anh Luong

    (Dong A University
    Dong A University)

  • Kim Phuc Tran

    (Dong A University
    ULR 2461 - GEMTEX - Génie et Matériaux Textiles)

Abstract

The pervasive integration of Artificial Intelligence (AI) in various facets of human life, driven by increasingly sophisticated algorithms, underscores the importance of its safety and reliability. AI’s role in Industry 4.0, connecting machines and processes to solve complex issues, is paving the way for the 5.0 Industrial Revolution (5IR). This revolution addresses global challenges such as climate change, pandemics, and conflicts. Ensuring the safety and reliability of AI systems is crucial, as these technologies significantly impact society. This chapter provides an overview of AI safety and reliability, discussing major advancements, methodologies for reliability assessment, and practical examples of AI applications. It highlights the Human-Centered AI (HCAI) concept, which emphasizes aligning AI development with human values. The chapter also explores machine learning’s role in enhancing AI reliability and addresses the challenges and ethical concerns associated with AI deployment. Underscore the need for ongoing research and interdisciplinary collaboration to ensure AI systems are safe, reliable, and beneficial to humanity in the evolving landscape of Industry 5.0 with applications in many fields such as healthcare, manufacturing, human resources management, etc.

Suggested Citation

  • Thi Hien Nguyen & Aamir Saghir & Kim Duc Tran & Dac Hieu Nguyen & Nguyen Anh Luong & Kim Phuc Tran, 2024. "Safety and Reliability of Artificial Intelligence Systems," Springer Series in Reliability Engineering, in: Kim Phuc Tran (ed.), Artificial Intelligence for Safety and Reliability Engineering, pages 185-199, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-031-71495-5_9
    DOI: 10.1007/978-3-031-71495-5_9
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