Every RTO, trainer, supervisor and safety manager now has to use AI responsibly — the regulator has drawn the line, and the law is catching up. High Risk Interactive's CPD gets your people current, human-led and Australian-grounded.
This isn't a productivity fad — it's a compliance expectation forming in real time. HRI's CPD is built around it.
Practical, human-led AI literacy — grounded to Australian Standards and regulatory expectations, never inventing safety values.
Responsible AI for WHS and safety leadership on construction and mining sites.
AI literacy for trainers and assessors — capabilities, limits, bias, and academic integrity, aligned to ASQA's expectations.
Practical, everyday AI use for supervisors — where it helps, and where the human decision stays.
Getting high-risk-work teams ready for digital and AI-assisted ways of working.
A practical toolkit of responsible AI techniques for training and safety teams.
Hands-on CPD that takes a team from AI-curious to building a useful, safe AI workflow.
HRI's AI tutors and marking assistance are grounded to Australian Standards and Codes of Practice, and never make the competency decision — a qualified assessor always does. Our CPD teaches the same discipline: AI as a capable assistant, with the human accountable.
These are CPD and professional-development courses. They complement — they don't replace — the formal assessment or licensing pathways your RTO runs.
Increasingly yes. ASQA has published principles for the responsible use of AI in VET and expects AI use to be governed with human oversight. Trainers and assessors are expected to understand AI's capabilities, limitations and bias, and to protect academic integrity.
No. ASQA is explicit: AI must not make assessment judgements. AI can support learning and marking, but the competency decision is always a qualified human assessor's.
New duties around workplace AI and "digital work systems" are being introduced in NSW (the WHS Amendment (Digital Work Systems) Act 2026), phasing in — requiring businesses to manage the risks of AI-driven work allocation, monitoring and fairness.