-
-
Recent Posts
- The Data Center Paradox: Community Capital, Industrial Risk, and the Leadership Role of EHS & Sustainability
- Information-Rich, Command-Poor: The Emerging Executive Risk in the Age of AI
- Executive Information Command Drill
- Why Decision Rights Are Critical for EHS Success
- Earning Executive Influence: Six Lenses for EHS Innovation and Payback
What is influencing me now:
Categories
- #ESG
- AI
- Artificial Intelligence
- Benchmarking
- Blog Purpose
- Business Accumen
- Career Skills
- contractor safety
- Culture
- Design for Safety
- Digital Twin
- EHS Management
- EHS Management Systems
- EHS Skills 101
- Employee Engagement
- Employee Involvement
- enterprise risk management
- ESG Investing
- Ethics
- Injury Prevention
- Innovation
- Leadership
- Leadership 101
- Leading at Scale
- Machine Learning
- Modernized Trianin
- New View of Safety
- operational integrity
- OSHA Compliance
- Personal Growth
- Personal Reflection
- Professional Skills
- psychological-safety
- Responsible Use of Technology
- risk management
- Serial Post
- Serious Injury & Fatality (SIF)
- Sustainability Leadership
- Sustainable Strategy
- Technical Skills
- Uncategorized
Meta
Archives
- November 2026
- October 2026
- September 2026
- July 2026
- June 2026
- May 2026
- April 2026
- March 2026
- February 2026
- January 2026
- November 2025
- October 2025
- September 2025
- August 2025
- July 2025
- June 2025
- May 2025
- March 2025
- February 2025
- December 2024
- November 2024
- April 2024
- February 2021
- November 2020
- October 2020
- November 2019
- August 2019
- December 2018
- November 2018
- September 2018
- March 2018
- September 2017
- April 2017
- March 2017
- December 2016
- July 2016
- August 2015
- January 2015
- November 2014
- May 2014
- April 2014
- March 2014
- January 2014
- July 2013
- March 2013
- February 2013
- January 2013
- August 2012
- July 2012
- April 2012
Category Archives: Artificial Intelligence
The Data Center Paradox: Community Capital, Industrial Risk, and the Leadership Role of EHS & Sustainability
Are data centers creating lasting community value—or simply consuming the resources communities provide?
As data center expansion becomes a prominent issue in the national debate, questions about electricity, water, environmental impacts, and economic benefits are intensifying.
In my latest LeadingEHS article, The Data Center Paradox, I draw on my experience in energy-intensive heavy industry to examine these challenges through a different lens. By combining the Capitals Coalition’s four-capitals framework, Responsible Care principles, and established EHS and Sustainability practices, I propose a practical approach to responsible data center development.
The challenge isn’t choosing between technological progress and community prosperity. It’s finding a way to achieve both. Continue reading
Posted in #ESG, AI, Artificial Intelligence, Business Accumen, ESG Investing, operational integrity, Responsible Use of Technology, Sustainable Strategy
Tagged AI, Artificial Intelligence, capitals-coalition, community-capital, data-center-environmental-impact, data-center-expansion, data-center-sustainability, ehs-leadership, energy, environmental-health-and-safety, responsible-care, responsible-data-center-development, sustainability, sustainable-infrastructure, technology
Leave a comment
Information-Rich, Command-Poor: The Emerging Executive Risk in the Age of AI
Artificial intelligence is giving executives unprecedented access to information, but more information does not necessarily produce better leadership. Drawing on firsthand executive experience and emerging research, this article explores the Information-to-Command Gap—the challenge of converting AI-assisted research into genuine understanding, sound judgment, and organizational influence. It introduces the Executive Command Protocol, a practical framework for ensuring that AI expands human capability without undermining the independent thinking required for consequential decisions. Continue reading
Posted in AI, Artificial Intelligence, Business Accumen, Career Skills, Digital Twin, Leadership, Leading at Scale
Tagged AI, ai-and-critical-thinking, ai-assisted-decision-making, Artificial Intelligence, artificial-intelligence-in-leadership, chatgpt, cognitive-offloading, ehs-leadership, executive-accumen, executive-command-protocol, executive-decision-making, executive-digital-twins, executive-leadership-development, Human-AI collaboration, sound-judgment, technology
Leave a comment
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
Leave a comment
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
Leave a comment
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
Leave a comment
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
Leave a comment
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
Leave a comment
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
Leave a comment
