The Role of AI in Human-Centric Risk Decision-Making
Steven Haynes · 2025
This chapter explores the evolving landscape of risk decision-making for safety professionals, focusing on foundational principles, effective strategies, and emerging innovations. It begins by examining the complexities of risk assessment, prioritization, and mitigation, highlighting the importance of combining analytical methods with human judgment. The integration of advanced technologies, such as artificial intelligence, machine learning, and big data analytics, is presented as a transformative force in safety management. These technologies enable predictive insights, real-time monitoring, and proactive interventions. Readers will understand the importance of having structured implementation processes, performance evaluations, and ongoing improvement to manage their safety initiatives. Key strategies include aligning safety initiatives with organizational goals, promoting a proactive safety culture, and involving employees in decision-making. Additionally, the chapter explores future directions in safety management, focusing on organizational resilience, adaptability, and the ethical considerations associated with emerging technologies. By integrating technological advancements with human expertise, this chapter equips safety professionals with a thorough framework for effectively managing risks and preparing their organizations to handle dynamic and complex safety challenges.