Rathin Nair, PhD

National Manager – AI & Data Science
Terracon

AI in Safety: Now, Next, and Later, Using the Technology Without Creating New Risk
Co-presenting with Michelle McIntyre

Artificial intelligence is creating new and increasingly practical opportunities to strengthen safety programs by improving consistency, visibility, and decision‑making across complex work environments. From AI‑assisted program development and predictive analytics to computer vision, sensors, and emerging automation, organizations are beginning to explore how these tools can support risk understanding and help focus limited safety resources where they matter most.

This session presents a Now, Next, and Later framework for understanding AI’s role in safety, combining a technology perspective with real‑world experience from active operations. The presenters will discuss where AI is already being applied today, how near‑term use cases are evolving, and what future applications may look like as the technology matures. Examples from a range of operating environments will illustrate how organizations are experimenting with AI to support hazard identification, risk prioritization, and program consistency.

The discussion will also address the responsibilities and leadership considerations that accompany these technologies. While AI can enhance efficiency and insight, misapplied or over‑trusted outputs can quietly introduce new forms of risk if context, data quality, and oversight are not carefully managed. Safety outcomes still depend on appropriate governance and professional judgment, with accountability remaining firmly with people and organizations. Attendees will leave with a clearer perspective on how AI is being used as a support mechanism in safety programs, its practical limitations, and the considerations organizations are weighing as they explore responsible adoption in real‑world conditions.

Rathin Nair is the National Manager of AI and Data Science at Terracon, where he leads efforts to incorporate artificial intelligence across the company to enhance efficiency and meet client needs. He is a seasoned AI researcher with a PhD specializing in machine learning and computer vision, bringing deep expertise across multiple domains and a strong focus on responsible, enterprise‑scale application through cross‑functional collaboration.