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- Inherited Risk Ecosystem: How Upstream Decisions Shape Human Error at the Point of Work
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Tag Archives: Artificial Intelligence
Earning Executive Influence: Six Lenses for EHS Innovation and Payback
What if your EHS team had to earn the business before it could earn the influence? EHS leaders frequently talk about wanting greater influence with executive management. We want to be involved earlier in business decisions, have operating leaders seek … Continue reading
Posted in Business Accumen, Career Skills, EHS Management, enterprise risk management, Innovation, Leadership, Leading at Scale, Sustainable Strategy
Tagged AI, Artificial Intelligence, business, business-value-of-ehs, EHS Management, ehs-innovation, ehs-leadership, ehs-management, ehs-strategy, executive-influence, news, Operational Risk Management, safety management systems, safety-leadership, technology
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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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If Everything Still Comes to You, You Haven’t Scaled Leadership
As leadership responsibility grows, working harder and staying involved in everything stops working. Drawing on experience scaling an organization from 15 to 300 people, this article explores how EHS leaders can multiply their impact through people, management systems, governance, delegation, digital tools, and AI—and build an organization capable of making thousands of good decisions every day. Continue reading
Posted in Business Accumen, EHS Management, enterprise risk management, Leadership, Leading at Scale, operational integrity
Tagged AI, Artificial Intelligence, EHS leadership, ehs-leadership, Enterprise Leadership, Leadership, Leadership Scale, operational excellence, safety leadership, safety-leadership, technology
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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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Operational Integrity: The Operating Model Heavy Manufacturing Needs
Heavy manufacturing does not fail all at once. It usually fails in layers.
A workaround becomes normal. A critical control weakens. A maintenance backlog grows. A near miss is explained away because no one was hurt. Over time, the operation drifts from discipline into exposure.
That is why I believe Operational Integrity needs to be treated as an overarching operating model, not just another safety, reliability, or compliance initiative.
In this article, I outline a practical framework for Operational Integrity built around five elements:
Operating Envelope | Strong Systems | Reliable Equipment | Leadership Cadence | Disciplined Operations
The goal is simple: help manufacturing organizations run with greater control, consistency, resilience, and accountability — for the benefit of employees, customers, communities, owners, and all stakeholders who depend on the enterprise. Continue reading
Posted in Culture, Employee Engagement
Tagged Artificial Intelligence, business, critical control management, equipment reliability, heavy manufacturing safety, industrial safety leadership, Leadership, manufacturing leadership, manufacturing risk management, manufacturing-operational-integrity, manufacturing-resilience, operational excellence, operational integrity, process safety management, safety culture, safety-innovation, technology
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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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Automated Reasoning for Human Error Detection in Industrial Operations
Most incidents aren’t caused by a single mistake—they result from conditions that made failure likely long before it happened.
In this article, I explore how automated reasoning can help EHS and operational leaders detect those conditions earlier, connect weak signals, and make more consistent, defensible decisions in real time. Just as important, I outline where technology stops—and where human leadership, trust, and judgment still determine outcomes.
The future of safety isn’t human or AI—it’s the integration of both to anticipate risk and act before it becomes reality. Continue reading
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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A Discussion About the Future of OSH with AI+Humans
AI is rapidly transforming the EHS profession, accelerating how we learn, make decisions, and uncover insights that were previously out of reach. This podcast conversation explores what happens when human expertise and machine intelligence converge to shape the future of safety and work. Continue reading
