Tag Archives: ehs-risk-management

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 , , , , , , , , , , , | Leave a comment

Inherited Risk Ecosystem: How Upstream Decisions Shape Human Error at the Point of Work

Serious injuries and fatalities are often shaped long before a worker reaches the point of exposure. The Inherited Risk Ecosystem provides a practical way to identify how upstream decisions, organizational conditions, and interacting risk factors combine to influence the real risk of work—and where leaders can intervene before an event occurs. Continue reading

Posted in Artificial Intelligence, Culture, Design for Safety, EHS Management, enterprise risk management, Innovation, operational integrity, psychological-safety, risk management, Technical Skills | Tagged , , , , , , , , , , , , , , , , , , , , | Leave a comment

EHS Data Analysis Heuristics: Turning Performance Data Into Better Decisions

By Chet Brandon EHS data is only useful when it helps leaders make better decisions and take timely action. Incident reports, corrective action records, hazard observations, audit findings, injury data, exposure information, and corrective action trends all contain signals. The … Continue reading

Posted in Career Skills, EHS Management, EHS Skills 101, enterprise risk management, Ethics, Leadership | Tagged , , , , , , | 1 Comment