Using AI Safely in EHS Programs: Risks, Opportunities, and Best Practices

Artificial intelligence is increasingly being introduced into Environmental, Health, and Safety (EHS) programs to help organizations analyze safety data, identify risk patterns, and gain deeper insights into workplace hazards. From predictive analytics and incident trend analysis to intelligent inspections, AI has the potential to significantly improve how organizations manage safety and prevent incidents. 

  However, adopting AI in safety-critical environments also raises important considerations around data quality, transparency, ethical use, and human oversight. In this session, we will explore how EHS leaders can responsibly adopt AI, understand potential risks, and implement best practices to ensure AI supports safer and more effective decision-making. 

 Key Takeaways: 

• Where AI can deliver real value in modern EHS programs
• Key risks and limitations of using AI in safety environments
• The importance of data quality and governance for reliable AI insights
• Principles for responsible and ethical use of AI in EHS
• Practical steps for EHS leaders to safely adopt AI technologies