#440 – DID YOU KNOW THAT ASBESTOS IS THE WORLD’S #1 KILLER – BILL POMFRET PH.D.

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Asbestos the worlds Number 1 Killer

Asbestos is the greatest cause of work-related deaths in world. A million plus people die every year from asbestos-related diseases which typically take decades to develop and cannot be cured.

Safety Projects International Inc. has refreshed its guidance on asbestos to help you protect yourself and your workers. Continue reading

#439 – IT’S LONELY AT THE TOP – BILL POMFRET PH.D.

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At times, even leadership can be a tremendously lonely experience.

The emotional fallout of making difficult decisions that negatively affect the lives of some team members, the feeling of rejection when team members leave for other opportunities, and the discomfort of disappointing passionate team members who offer ideas that can’t be executed in the moment, among many other leadership acts, all take their toll. Continue reading

#438 – STORIES ARE MY FAVORITE ELEMENT OF TRAINING – BILL POMFRET PH.D.

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All stories are emotional. Won’t you agree? The very reason people respond to them is that it “touches the heart” so to speak or “strikes a chord”. To me, this is the most basic reason why using stories remains a powerful tool when we teach, train, or mentor. In fact, these are the critical keys to why stories work. Continue reading

#437 – RISK BOWTIES IN SAFETY – BILL POMFRET PH.D.

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A Tool for Risk Management and Training

Many EHS professionals struggle to build a common understanding of significant risks and the controls that prevent and mitigate those risks — and easily share it by training their workforce. That’s because the tabular format used in most risk registers has been shown to limit the retention and therefore usefulness of that knowledge beyond the risk workshop. Continue reading

#365 – EXPLAINABLE AI – BILL POMFRET PH.D.

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Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms.

Explainable AI is used to describe an AI model, its expected impact, and potential biases. It helps characterize model accuracy, fairness, transparency, and outcomes in AI-powered decision making. Explainable AI is crucial for an organization in building trust and confidence when putting AI models into production. AI explain ability also helps an organization adopt a responsible approach to AI development. Continue reading