On 20 August, the Australian Parliament appointed a Joint Select Committee on Artificial Intelligence, a joint House and Senate body tasked with examining AI's risks and opportunities, reviewing whether existing law is adequate, and reporting back before the government's promised national AI standards go to Parliament in early 2027. It sounds procedural. It is not. A joint select committee is one of the more serious instruments available to the Australian Parliament, and its formation this early in the process tells you that mandatory AI rules are no longer a possibility organisations can plan around later.
For most of 2026, Australia's approach to AI has been described as voluntary, technology neutral and reliant on existing law. That framing is already out of date. The government abandoned its earlier mandatory guardrails proposal, then pivoted to a national AI plan built around a single standards framework, and now a joint parliamentary committee has been stood up specifically to examine whether current law, covering copyright, national security, data sovereignty, consumer protection, deepfakes and cyber security, is fit for purpose. Each of those steps narrows the gap between where Australian AI governance sits today and where mandatory standards will land in 2027.
What a Joint Select Committee Actually Does
A joint select committee is not a discussion panel. It has formal terms of reference, it takes public submissions, it holds hearings, and its findings typically shape the legislation that follows rather than merely commenting on it. This committee has been asked to examine AI's impact on national security, productivity, competitiveness and living standards, alongside the adequacy of existing law across copyright, national security, data sovereignty, consumer protection, deepfakes and cyber security. It has also been specifically tasked with looking at the rate and depth of AI adoption among Australian businesses, with a particular focus on smaller organisations. That last point matters. It suggests the eventual standards framework is being built with an eye to how mid-market and smaller enterprises are actually using AI today, not just how the largest, most resourced organisations are managing it.
Why This Changes the Timeline, Not Just the Tone
Organisations that have been treating Australian AI governance as a watching brief, something to revisit once mandatory rules are closer to landing, now have a narrower window than they think. Committee inquiries take submissions from industry, and the findings from those submissions typically inform the shape of the legislation that follows. Waiting for the standards to be finalised in 2027 before building a governance programme means an organisation has no voice in shaping what those standards actually require, and no runway to prepare an operating model, documentation and accountability structure before compliance becomes mandatory rather than aspirational.
The Areas of Law Actually Under Review
The committee's scope is broader than most organisations expect. Copyright and intellectual property sit alongside national security, data sovereignty, consumer protection, deepfakes and cyber security, which means the eventual standards are unlikely to be a narrow, AI-specific rulebook. They are more likely to touch existing obligations under the Privacy Act, consumer law and sector-specific prudential requirements, layered with new AI-specific expectations on top. Organisations that have only mapped their AI governance obligations against a single piece of legislation, most commonly privacy law, are working from an incomplete picture of what is actually under review.
What Submissions and Hearings Usually Produce
Committees of this kind typically call for public submissions before finalising their report, and the organisations that participate, whether directly or through industry bodies, generally have more influence over the eventual shape of the framework than those that wait to respond once legislation is drafted. This is not a reason to rush a submission for its own sake. It is a reason to have an internal position on what workable AI governance actually looks like well before the committee reports back, so that if a submission opportunity is worth taking, the organisation already has a considered view to bring to it rather than starting from scratch under time pressure.
What This Means for Your Organisation
What we see across the organisations we work with is that the ones who treat committee inquiries like this as background noise are consistently the ones scrambling when the actual legislation lands. The organisations doing this well are using the runway between now and 2027 to build the governance foundation, documented risk assessments, clear accountability, an actual register of where AI is used, that any credible standards framework is going to expect regardless of its final wording. That foundation does not become wasted effort if the eventual standards look different to what is submitted or proposed today. It becomes the evidence base an organisation can point to when asked to demonstrate it was already taking AI governance seriously before it was legally required to.
Key Takeaways
- Australia's Joint Select Committee on Artificial Intelligence, appointed on 20 August, is a formal parliamentary body reviewing whether existing law adequately covers AI risk, and its findings will likely shape the national AI standards expected before Parliament in early 2027.
- The committee's scope spans copyright, national security, data sovereignty, consumer protection, deepfakes and cyber security, meaning the eventual standards are likely to touch several existing pieces of law rather than sit as one isolated AI act.
- The committee has a specific focus on AI adoption among smaller and mid-market businesses, suggesting the eventual framework is being built with that segment in mind, not just large enterprise.
- Organisations that build governance foundations now have more influence over submissions and more runway to prepare than those waiting for legislation to be finalised.
How Trusenta Can Help
AI Governance Foundations builds the documented risk assessments, accountability structure and use case register that any credible Australian standards framework is likely to expect, regardless of how the committee's final recommendations are worded.
Fractional AI Officer gives organisations without a dedicated governance lead the ongoing oversight needed to track the committee's progress and adjust their governance posture as the standards take shape.
Risk Management tracks AI-related risk against the specific areas the committee is reviewing, including data sovereignty and consumer protection, so gaps are visible before they become compliance failures.
Conclusion
The Joint Select Committee on Artificial Intelligence will not report back overnight, and the standards it informs will not be finalised until legislation reaches Parliament in 2027. That gap is not empty time. It is the window in which the organisations that take AI governance seriously now build a foundation that will still be relevant regardless of exactly how the final standards are worded, while the organisations that wait are left building that same foundation under legislative deadline pressure instead.
