The purpose of this paper is to explore the role of AI powered devices in safety engineering, a discipline that aims to prevent accidents and mitigate risks in complex systems. The methods used are quantitative research by means of interviews, quantitative research by means of Vosviewer on the webofknowledge database, and literature review.
The paper acertains the current state of the art of AI applications in safety engineering, such as fault detection, diagnosis, prognosis, and recovery. We have also covered case studies in which we analyzed real-world implementations of AI for safety, evaluating their effectiveness and challenges.
The paper also discusses the challenges and limitations of AI in safety engineering, such as ethical, legal, and social implications, as well as the need for human oversight and trust. The paper concludes that AI powered devices can offer significant benefits for safety engineering, but also poses new risks and uncertainties that require careful evaluation and management.