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This paper presents an insight into the key safety and reliability challenges of AI-based intelligent decision making in autonomous vehicles (AVs). The rapid advancement of Artificial Intelligence (AI) has brought unprecedented opportunities for innovation, transforming industries and enhancing human capabilities. However, the integration of AI into automotive has raised significant dependability and trust issues. This paper explores the safety aspects of AI, emphasizing the need for an explainable (XAI) framework that balances technological innovation with societal values. We examine key safety issues, proposed frameworks for responsible AI development, and the role of manufacturers, regulators and researchers in addressing these challenges.

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Reliability Challenges of AI on the Road: A Case Study of Self-driving Cars

  • 会议论文

  • 发表日期：

    2025年

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  • Zeashan Hameed Khan,
  • Romana Riyaz,
  • Ata Jahangir Moshayedi

摘要

This paper presents an insight into the key safety and reliability challenges of AI-based intelligent decision making in autonomous vehicles (AVs). The rapid advancement of Artificial Intelligence (AI) has brought unprecedented opportunities for innovation, transforming industries and enhancing human capabilities. However, the integration of AI into automotive has raised significant dependability and trust issues. This paper explores the safety aspects of AI, emphasizing the need for an explainable (XAI) framework that balances technological innovation with societal values. We examine key safety issues, proposed frameworks for responsible AI development, and the role of manufacturers, regulators and researchers in addressing these challenges.