Psychosocial Safety
Psychosocial risk and AI under the model WHS laws: risk assessment, incident analysis, and leading indicators for Australian WHS teams.
14 articles
Articles about Psychosocial Safety

Canberra Just Measured What AI Is Doing to Jobs. It Found 2%.
The Australian Government has published its first systematic measurement of AI's effect on employment. DEWR's July 2026 report finds the most AI-exposed occupations grew 5.6 per cent since ChatGPT arrived, against 9.5 per cent for the least exposed, and models a 2 per cent shortfall against trend. The number is small, the caveats are real, and the implications for WHS, workers compensation, GRC, HR and leadership teams start now.
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AI Can Stress-Test an Emergency Plan. It Cannot Run the Drill.
AI can challenge a de-identified emergency plan against scenarios, missing roles, communication failures and changed workplace conditions. It cannot test how people behave under pressure. Regulation 43 keeps the testing, the training and the drill itself human.
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AI Can Draft WHS Training. It Cannot Verify Competence.
AI can draft WHS learning objectives, scenarios, quizzes and facilitator notes from verified source material. It cannot observe a worker performing the task or certify competence. This guide sets out where the two human gates sit and how to run the drafting workflow without letting a completion record impersonate a competent worker.
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Rolling Out AI Is a Workplace Change: Consult and Risk-Assess First
Switching on an AI tool that allocates, paces, measures, or monitors work is a change to the work under Australian WHS law. The duty to consult workers and risk-assess it sits with the business before go-live, and NSW has now written it into statute.
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AI Can Draft a SWMS in Seconds. The Site Walk and the Consultation Cannot Be Automated.
AI can produce a formatted safe work method statement in under a minute, but for high-risk construction work a SWMS is a regulated document. The site walk and the consultation that make it lawful are exactly the parts AI cannot do.
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Rehearse the Hard Conversation Before You Have It
The most expensive conversations a leader has are the ones walked into cold. The practice field for them now sits in the same window you draft the email in. Here is how to rehearse the hard conversation on a model before you have it for real.
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An AI Safety Control Is Still Just a Control. The Duty to Verify It Stays With You.
An AI safety camera or sensor is a control measure like any other, and usually the weakest kind. This guide sets out the WHS duty it touches, where it sits in the hierarchy, and how to deploy and verify one without fooling yourself.
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AI Can Analyse Your Engagement Survey Without Surveilling Your People
AI can read every free-text comment in your engagement survey and turn a thousand of them into themes in minutes. Done well, it finally puts that feedback to use. Done badly, it turns a survey into surveillance. Here is the line, and a workflow that stays on the right side of it.
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AI Worker Monitoring in Australia: What HR Can and Cannot Do
A practitioner guide for Australian HR teams on the privacy, surveillance, Fair Work and WHS rules that govern AI monitoring of workers, including the new automated decision-making transparency duty from 10 December 2026.
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AI Work Allocation and Psychosocial Risk: The WHS Duty NSW Teams Already Hold
AI work-allocation and monitoring tools create psychosocial hazards that NSW WHS law already requires PCBUs to identify, control and consult on. Here is the duty, the verified provisions, and a risk-assessment workflow.
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AI for Incident Analysis and Leading Indicators: A Human-in-the-Loop WHS Playbook
A practical, human-in-the-loop guide for Australian financial-services WHS teams. Use AI to surface leading indicators across de-identified incident data and to propose ICAM-style contributing factors, while keeping the notifiability decision firmly with a competent person.
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AI-Assisted Psychosocial Risk Assessment: A WHS Governance Workflow That Keeps the Sign-Off Human
A practical WHS governance workflow for Australian financial-services teams: use AI to synthesise de-identified survey data and draft the written psychosocial risk assessment, while a competent person always sets the rating, chooses the controls, and signs off.
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The Right to Disconnect Changes How Teams Should Configure AI Workflow Tools
Practical guidance for HR and managers on configuring AI workflow tools to respect the Fair Work right to disconnect, including audit checklists and sample policies.
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AI Work Allocation Needs Psychosocial Risk Controls
Effective AI work allocation requires assessing psychosocial risks like job demands, control, support and fairness before deployment.
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