Welcome and Introductions
Glyn Jones, EHS Consulting, Part of Bravo Target Safety

AI has many applications in improving workplace safety including improved predictive analytics for risk prevention, AI-based training involving simulation, enhanced safety protocols including the use of computer vision and natural language processing to assess workplace hazards, and the use of AI analysis of vocal patterns to assess fatigue and employee burnout. The applications are increasing daily and the rate of change in AI applications is best described as highly dynamic and accelerating due to continuous advancements in research, increased computational resources, data availability, and cross-industry adoption. In this session we will review the application of AI to workplace safety and improved safety management systems

AI-enhanced Natural Language Processing and Video Analysis as a Tool to Improve FLHAs
FYLD

Workplace inspections and hazard assessments are essential for identifying and preventing risks before they cause harm. Tools such as FYLD are a good example. Enhanced with AI, natural language processing, and computer vision, FYLD-generated hazard assessments improve accuracy, efficiency, and real-time decision-making. This advanced system creates detailed hazard logs based on observed conditions, spoken input, and known risks—leading to smarter, faster safety decisions that also support productivity and sustainability.

PART 1 – Lead with Questions: HSE Thought Leadership in the Age of AI
Marc Smith, Integrated Sustainability Consultants

As AI continues to evolve, HSE professionals must lead with clarity, not fear. This session explores how to stay the Thought Leader while using AI as a trusted thinking partner. You’ll learn how to shift your mindset from efficiency to intentionality, and why AI is best used to amplify—not replace—human judgment. We’ll break down where your leadership is irreplaceable and where AI can carry the load. Join us to explore real-world applications, ethical framing, and the future of human-machine collaboration in HSE.

PART 2 – Prompting with Purpose: A Practical Guide to Leading with AI in HSE
Marc Smith, Integrated Sustainability Consultants

Prompting is a leadership skill — not just a tech trick. In this hands-on session, you’ll learn how to craft prompts that connect your HSE judgment with AI’s speed and structure. We’ll explore three levels of prompting: basic, expert, and interview-style. You’ll apply them to real tasks like policy writing, root cause analysis, and procedure simplification. More than automation, this is about using AI to amplify your thinking. You’ll leave with prompt ideas, practical strategies, and a clearer sense of how to lead through collaboration — not delegation. Come curious, leave empowered.

Safety Scan – The Evolution of Impairment Detection Technology and AI
Randal Roberts, SafetyScan Technologies

Industry continues to use technologies first developed in the 1970s to detect workplace danger from alcohol and drugs.  Lots of challenges exist – cannabis is legal and privacy is top of mind for most people.  The metabolites of cannabis stay in the body for weeks resulting in positive (non-negative) drug tests due to past use in personal time.  A failed drug test does not mean the subject is impaired.  New Impairment Detection Technology (IDT) determines real-time impairment and pairing daily workforce data from these devices with AI/ML gives companies leading indicators and actionable predictive analytics.

Advice from a CIO – Developing Effective AI Use Policies for the Workplace
Michael Kulpa, SIRKit

More than 70% of employees are already using AI tools in their daily work—often without formal guidance. Yet, many organizations still lack a clear policy to govern how these tools should be used. An effective AI use policy should balance the practical needs of employees with the organization’s requirements for security, privacy, values, and culture. It should also provide clear, actionable guidance on which tools and practices are acceptable.

In this session, you’ll learn how to create a practical and responsible AI use policy. We’ll cover key considerations, common pitfalls, and a set of “Dos and Don’ts.” You’ll leave with tools and resources to help you draft or improve your own policy right away.

Real World AI: Field-ready Safety Applications that Actually Stick
Elden Stewart

Discover how AI tools like ChatGPT are being applied in real-time to improve safety meeting quality, hazard assessment efficiency, and frontline engagement. This session walks through tangible, field-tested examples, and strategies that safety leaders can implement immediately.

From Risk to Resilience: How AI is Transforming Fatigue Management
Dr. Prentice Tom, Tenvos AI

Identifying and managing fatigue in real time remains a challenge in industrial safety. Tenvos AI offers a proactive voice-based impairment management solution for hazardous fatigue and substance use in real time. This session presents a case study from its deployment at a petrochemical facility.

From Reactive to Predictive: How AI is Reshaping Safety Management Systems (SafetySphere)
Amir Abrari, SafetyLog Inc.

This session explores how artificial intelligence is being integrated into modern safety systems to enhance reporting, predict incidents, and identify risk trends. Using SafeSphere’s development journey as a case study, we’ll highlight practical AI applications in hazard reporting, analytics, and behavior recognition.