Environmental, Safety and Health (ESH) protection represents a core responsibility that extends beyond compliance. Traditional ESH programs rely heavily on subject matter experts using conventional technologies, with spreadsheets, databases, and programmed logic systems, that require manual analysis to determine risks and predict trends. These functional approaches often lack the agility needed to address a rapidly evolving workplace and environmental hazards in our complex business landscape. This comprehensive guide provides executives and ESH managers and professionals with the strategic vision and practical roadmap needed to integrate artificial intelligence (AI) into ESH Management Systems and Programs. Written to bridge the gap between traditional environmental protection, safety practices, and next-generation AI capabilities, this guide demonstrates how AI transforms ESH management by enhancing hazard analysis, risk identification, and mitigation processes. The book introduces practical implementation frameworks, including the PRIM framework, to help organizations responsibly integrate AI into day-to-day ESH decision-making. Readers will discover practical frameworks for integrating AI into existing programs, AI governance at the organizational/divisional level, methodologies for improving data management, and strategies for implementing predictive analytics that drive proactive decision-making. Through real-world case studies and implementation roadmaps, this book gives professionals the knowledge to elevate environmental and safety outcomes, accelerate response times, and significantly reduce operational costs, ultimately creating more resilient and sustainable organizations.

Transforming Environmental, Safety, and Health Management Through Artificial Intelligence is for ESH managers and professionals, corporate executives, sustainability leaders, AI governance teams, operational managers, and risk management professionals seeking to modernize ESH performance through responsible AI implementation.