SRC Act
AI under the SRC Act 1988 and the Comcare scheme: liability, rehabilitation, and claims practice for workers compensation professionals.
36 articles
Articles about SRC Act
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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Two Doctors Disagree: AI Can Map the Conflict, Not Resolve It
When a treating doctor and an independent examiner disagree, the delegate has to weigh two medical opinions and determine liability on the balance of probabilities. AI can build the comparison so you spend your time on the judgement, not the sorting. Here is a de-identified workflow that keeps the weighing, and the decision, with the delegate.
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AI Can Map a Section 29 Household Services Claim. It Cannot Decide What Is Reasonable
AI can organise a de-identified section 29 household services claim by task, pre-injury contribution, post-injury capacity, household composition, family contribution, disruption and cost. It cannot apply the word reasonable. This guide gives you the evidence map, the prompt and the human decision line.
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AI Can Organise a Section 36 Rehabilitation Assessment. It Cannot Choose the Program
AI can build a de-identified source register, chronology, evidence map and question list for a section 36 rehabilitation assessment under the SRC Act. It cannot conduct the statutory assessment, require an examination, select the assessor or choose the rehabilitation program. This guide maps where the machine stops and the people named by the Act take over.
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AI Can Build the Section 16 Picture, Not Make the Call
Section 16 of the SRC Act pays for medical treatment only where it was reasonable to obtain and the cost is appropriate. That is a judgement, not a fact. This guide gives you the prompts, the Monday workflow and the checklist so AI assembles the picture while a delegated officer makes the call.
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AI and the Reasonable Administrative Action Exclusion: Map the Actions, Keep the Judgement
A practical guide to where AI genuinely helps with a section 5A reasonable administrative action determination, and exactly where the work stops being organisation and becomes human judgement.
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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 and Permanent Impairment: Organise the Evidence, Keep the Judgement
A permanent impairment claim under section 24 lives or dies on the medical evidence. AI can assemble, de-identify and structure that evidence against the approved Guide, and surface the gaps. It cannot assess the impairment or make the determination. Here is the workflow.
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ChatGPT Just Got Better at Health. Mind the Boundary.
On 18 June OpenAI announced a substantial step up in ChatGPT's health intelligence, free to the 230 million people who already ask it health questions every week. Better answers do not move the boundary between information and a clinical decision. Here is what that means for Australian professionals this week.
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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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AI Is Moving Into the Core Systems of Regulated Work
This week two of the world's largest IT services firms began wiring a frontier model into the core systems that banks, insurers and airlines run on, not the chat window. Here is what it means for regulated work, and what to do this week.
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AI Week in Review, 8-14 June 2026: A Frontier Model Pulled by Government Order
The week a US directive forced Anthropic to suspend two new frontier models worldwide, plus six verified vendor moves and a repeatable method for turning AI news into Monday actions.
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Claude Model Routing for Regulated Work: Which Model to Use for GRC, WC and HR Tasks
Choosing a Claude model is a governance decision, not a speed decision. Route by capability tier, score the task, and keep accountable review with named people, with worked examples for GRC, workers compensation and HR.
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Build the Knowledge Spine That Stops Generic AI Output
Generic AI output is a context problem, not a prompt problem. Learn how a governed knowledge spine grounds your models in real organisational knowledge, with worked examples for GRC, workers compensation and HR.
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Build a WC Evidence Chronology Tool Without Outsourcing Judgement
A practical pattern for using an LLM to build an offline, de-identified workers compensation evidence chronology tool that organises facts while the delegate keeps every SRC Act decision.
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AI Can Draft Recovery Conversation Scripts, but the Listening Stays Human
A practical guide to using AI to draft motivational-interviewing-informed scripts, talking points and follow-up messages for recovery-at-work conversations. De-identification first, the MI frame in the prompt, and a human reviewer before any words reach an injured employee.
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Prompt Libraries Make WC AI Safer Only When Human Review Comes First
A practical SRC Act article on de-identification, placeholder prompt libraries, file-note drafting and human review controls for workers compensation communications.
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Leveraging AI to assist dissecting the SRC Act Review
A practitioner workflow for employers to dissect the December 2025 SRC Act Review with AI tooling. Project setup, four prompt patterns, submission scaffolding, and the two human review gates that keep the work defensible.
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AI Can Organise Recovery-at-Work Information, but People Must Decide
A practical SRC Act article on using AI to support suitable duties and recovery-at-work planning without replacing evidence, consultation or human judgement.
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Predictive Analytics and Claims Triage: A Risk Analysis for Scheme Operators
Predictive triage models promise faster decisions and better outcomes. They also concentrate legal, ethical, and procedural fairness risk. Here is how to think about both.
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Treating Practitioner Reports and AI: Where the Workflow Helps and Where It Hurts
AI is a strong summariser of treating practitioner reports and a poor judge of medical evidence. The line between the two is the difference between speed and risk.
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The Incapacity Cross-Check Workflow: AI as a Calculation Auditor
Section 19 calculations are arithmetic-heavy and error-prone. AI shines as a second pair of eyes, not as the primary calculator. Here is the workflow.
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AI Tools in Workers Compensation Claims: Where Value, Where Risk, Where Governance
AI is now operating across five workflows in workers compensation claims. The value is real. The governance baseline is non-negotiable. A practitioner's map of where each tool fits, what it actually does, and what to never do.
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ART Review Rights Under the SRC Act: A Practitioner's Map
Review and appeal rights under the SRC Act 1988 changed in October 2024 when the AAT became the Administrative Review Tribunal. A practitioner's map of the three review tiers, the timeframes that apply, and the place AI evidence is taking in workers compensation matters before the ART.
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Custom Projects vs Raw Chats: When to Graduate Your AI Workflow
Raw chat is fine for ideation. For any workflow you run more than twice, Custom Projects pay back fast. Here is the rule for when to graduate.
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Privacy-Safe AI for Regulated Work: A Working Practitioner's Guide
Workers compensation, GRC, HR and clinical roles all sit on regulated data. Using AI well in those roles is not optional. Doing it safely is not optional either. This is the practitioner's guide.
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The De-Identification Toolkit for Case Managers Working With AI
A working toolkit for case managers who use AI inside live claim files. Five identifier categories, a placeholder convention, and a daily desk routine.
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RAG Explained for Non-Engineers: How AI Reads Your Documents
RAG is the architecture behind most enterprise AI tools you will meet in 2026. The acronym hides a simple idea. Here it is, explained in plain English with a working analogy.
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Choosing Claude, ChatGPT, Gemini or Copilot for Your Job
The four main AI tools have meaningfully different strengths in 2026. The right choice depends on your job, not on the marketing. Here is a working professional's decision guide.
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Reading the Reasoning Trail: A Case Note on AI Drafted Determinations
An illustrative case profile that mirrors live ART concerns: when an AI drafted determination cannot be unwound to its underlying reasoning, the determination itself is at risk.
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How to Read an AI Tool Safety Card and Spot the Red Flags
Every frontier AI vendor publishes a safety card or model card. Most are 30 pages of mixed marketing and substance. Here is how to read one in 20 minutes and walk away knowing what matters.
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Your First AI Workflow Without a Single Line of Code
You do not need n8n, Zapier or a developer to get genuine productivity from AI workflows. Pick a task. Stitch three prompts together. Save the recipe. Repeat next week.
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SRC Act and AI Assisted Determinations: A Practitioner Framework
AI can draft a determination in minutes, but the SRC Act still demands a qualified human decision maker. Here is the practitioner framework that keeps both true.
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Prompt Engineering Fundamentals: The 2026 Update for Working Professionals
The 2026 frontier models reward precision more than they did 18 months ago. This is the practical pattern set every working professional should be using now.
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Australian AI Safety Standard: 18-Month Review
Eighteen months in, Australia's voluntary AI Safety Standard has shifted from optional reading to procurement table stakes. Three things worked. Two did not. The next phase is moving towards mandatory.
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