Start from the obligations you already have — privacy, records, professional and sector rules — and make the AI tool sit inside them, not beside them. Compliant governance means knowing what data goes in, where it’s stored, who can see the output, and having a human accountable for decisions the tool influences. The technology is new; most of the obligations are not.
What it depends on
Where judgement stays human: Deciding where a human must stay in the loop, and how much reliance is safe, is a judgement about your risk and obligations — not something to delegate to the tool itself.
The common mistake is treating AI as a special case with its own separate rulebook. In practice, your existing duties — the Privacy Act, your record-keeping requirements, and any professional or industry standards — already apply to what the tool does with information. Governance is mapping the tool onto those, not inventing something parallel.
The genuinely new part is accountability for outputs: an AI can produce a confident, wrong answer, so someone competent has to own the decision it feeds. Emerging frameworks for AI management systems formalise this, but the core is simple — traceable data, controlled access, and a human on the hook.
Deciding where a human must stay in the loop, and how much reliance is safe, is a judgement about your risk and obligations — not something to delegate to the tool itself.
AI Systems · general information current as at 1 September 2026. This is general information only, not personal financial, tax or legal advice.