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Category Archives: Artificial Intelligence
AI Won’t Need to Become Evil to Become Dangerous: What the AI Doomsday Debate Means for EHS
Artificial intelligence is rapidly moving from a tool that provides information to systems that can make decisions, take action, and interact with other agents. For EHS professionals, that shift should raise a familiar question: are capability and autonomy expanding faster than the controls designed to manage them? This article examines the AI “doomsday” debate through an EHS lens, connecting emerging AI risks to Management of Change, SIF prevention, human factors, inherited risk, and defense in depth. Continue reading
Posted in AI, Artificial Intelligence, Design for Safety, Digital Twin, Innovation, Technical Skills
Tagged AI, AI Governance, Artificial Intelligence, Artificial Intelligence Safety, EHS Risk Management, ehs-leadership, ehs-risk-management, Management of Change, philosophy, risk management, Serious Injury and Fatality Prevention, technology
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Harnessing the Process Digital Twin: Building Live Operating Models for Foresight, Control, and Safer Work
Most organizations are still managing safety and operational risk by looking in the rearview mirror. A Process Digital Twin gives leaders a way to see risk forming early enough to act.
In our new article, “Harnessing the Process Digital Twin: Building Live Operating Models for Foresight, Control, and Safer Work,” Emmanuel Winful, CSP, MPH, MS and I explore how digital twins can move from concept to practical operational control.
Emmanuel was a great collaborator on this work and brought strong technical depth to the discussion.
The article covers where to start, what data matters, how to avoid false confidence, and why validation, MOC, cybersecurity, and governance cannot be afterthoughts.
The future of safety will not be built on better dashboards alone. Continue reading
Posted in AI, Artificial Intelligence, Digital Twin, Innovation, Machine Learning, Uncategorized
Tagged Digital Twin for Hazard Identification, Digital Twin Technology, Digital Twins in EHS, EHS Management Systems, Industrial Safety Technology, Lockout Tagout Digital Twin, LOTO Training Simulation, Operational Risk Management, Predictive Safety Management, Process Digital Twin
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The Game Changer in EHS Training: Blended Pathways That Build Capability in High-Risk Industrial Operations
EHS training, safety training, lockout tagout, LOTO training, hazardous energy control, industrial safety, blended learning, competency based training, safety leadership, verified capability Continue reading
Posted in AI, Artificial Intelligence, Digital Twin, EHS Management, Innovation, Leading at Scale, Modernized Trianin, psychological-safety
Tagged blended learning, Blended Method Training, competency based training, EHS training, hazardous energy control, industrial safety, lockout tagout, LOTO training, safety leadership, safety training, verified capability
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SIF Reduction: The Leading Edge of Operational Integrity
SIF prevention belongs within the broader discipline of Operational Integrity. Preventing life-altering events requires more than a safety program; it requires an operating system that connects leadership, frontline knowledge, reliable controls, meaningful data, and organizational learning. Continue reading
Contractor Safety Management: The Contractor Operational Integrity Model
I’m pleased to share my latest article: “The Future of Contractor Safety Management: The Contractor Operational Integrity Model.”
The impetus for this piece came from my participation on a contractor safety panel at the Avetta annual conference in Chicago in mid-May. The discussion reinforced something I believe strongly: contractor safety management is moving into a new era.
For too long, contractor safety has often been treated as a compliance and prequalification process. Those elements still matter, but they are not enough. The future is about work readiness, verified control of work, and operational integrity at the point where risk is real.
In the article, I introduce the Contractor Operational Integrity Model, built around six core elements:
Critical Risk Definition
Capability and Capacity Verification
Control of Work Discipline
Field Verification and Leadership Cadence
Performance Intelligence
Corrective Learning and System Improvement
The central message is straightforward:
Compliance is the foundation. Operational integrity is the standard.
Contractor safety is not just a safety department issue. It is a test of how well safety, operations, procurement, maintenance, and contractors operate as one system under real field conditions.
I appreciate the Avetta team for hosting a strong discussion and creating space for practical dialogue on where contractor risk management needs to go next. Continue reading
Posted in AI, Artificial Intelligence, contractor safety, enterprise risk management, Innovation
Tagged AI, Artificial Intelligence, business, contractor operational integrity, contractor risk management, contractor safety, contractor safety management, control of work, EHS leadership, ehs-leadership, field verification, heavy industry safety, news, safety management systems, technology, work readiness
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Cyber-Physical Risk in the Age of AI: How Safety Professionals Help Directors Make Better Operational Technology Investment Decisions – Part 4
As the final article in this four-part series, Fay Feeney and I bring the conversation into the boardroom. Operational technology is no longer just an engineering concern—it is a governance test. As AI-enabled assets reshape industrial operations, directors are approving new risk profiles, resilience assumptions, and value-creation models. Continue reading
Posted in AI, Artificial Intelligence, EHS Management, enterprise risk management, Leadership, Machine Learning, Sustainability Leadership
Tagged AI, AI operational technology risk, AIOT Resilience Index, Artificial Intelligence, board oversight cybersecurity, business, cyber physical risk management, cyber-physical risk management, enterprise risk management OT, industrial cyber resilience, Leadership, operational technology governance, OT capital investment risk, OT cyber risk, safety professionals and cybersecurity, technology
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Cyber-Physical Risk in the Age of AI: How Safety Leaders and Boards Can Protect Operational Technology – Part 1
Artificial intelligence is reshaping cyber risk — and for industrial organizations, the stakes are no longer just digital.
Cyber attacks on operational technology (OT) can now disrupt physical processes, threaten worker safety, and create significant economic impact. Managing this evolving risk requires new thinking that connects plant-level realities with boardroom oversight.
I’m excited to share a new four-part thought leadership series I’ve co-authored with Fay Feeney, bringing together perspectives from industrial safety leadership and enterprise governance.
Together we explore how organizations can strengthen operational resilience, cyber-physical risk management, and strategic oversight in the age of AI.
Part 1 is now available — more to follow soon.
#OperationalTechnology #CyberSecurity #AI #IndustrialSafety #RiskManagement #BoardGovernance #Resilience Continue reading
Posted in AI, Artificial Intelligence, Design for Safety
Tagged AI, AI cyber threats to infrastructure, critical infrastructure cyber risk, cyber physical risk management, cyber risk governance board oversight, cyber-security, cybersecurity, industrial control systems security, industrial cybersecurity risk, operational technology cybersecurity, OT security resilience, process safety and cybersecurity, security, serious injury fatality prevention cyber risk, technology
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You’ve Been Given the Assignment: Why Modern EHS Leadership Requires a New Operating Model
If your EHS system struggles when conditions change, that’s not a people problem—it’s a system design issue. This article outlines how leading organizations are modernizing EHS for real work and real risk. Continue reading
Posted in AI, Artificial Intelligence, Innovation, New View of Safety, Uncategorized
Tagged digital EHS systems, EHS transformation, high reliability organizations HRO, human organizational performance HOP, modern EHS management systems, predictive safety analytics, proactive safety management, resilience engineering safety, safety culture improvement
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Seeing Risk Before It Hurts: An Example of How Predictive Analytics Are Redefining Safety
Most safety systems are designed to explain injuries after they happen—not to prevent them while risk is forming. What if EHS leaders could see danger emerging in real time, understand why it’s happening, and intervene before someone gets hurt? This article outlines a bold predictive safety concept that uses AI, computer vision, and causal analytics to challenge traditional thinking about leading indicators and redefine what proactive risk management in manufacturing could look like. Continue reading
Posted in AI, Artificial Intelligence, EHS Management, Injury Prevention, Machine Learning, psychological-safety
Tagged AI, AI in EHS, Artificial Intelligence, computer vision safety, leading indicators safety, manufacturing safety innovation, occupational injury prevention, predictive safety analytics, proactive safety management, real-time risk management, safety analytics and AI, structural equation modeling safety, technology
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