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49 stories · most recent 14 November 2026 · this page is generated at build, so it is never out of date

Government

Department secretaries say open-weight AI can be a secure, cost-effective option for routine government work on government infrastructure

A communique from the Secretaries Digital and Data Committee, published on 6 November, cites the risk of relying on a small number of overseas AI providers and says open-weight models hosted on government-controlled infrastructure can be a secure, cost-effective option for routine work. A week earlier Home Affairs told a parliamentary committee its broader posture on open-weight models is still being worked through.

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Government

Not all Microsoft 365 Copilot components process data in Australia, says a DTA guide published with the government’s new AI Reference Architecture

The DTA published its AI Reference Architecture on 30 October. Its companion guide works through Microsoft 365 Copilot and tells agencies an Australian data centre commitment for data at rest does not necessarily mean all Copilot inference happens in Australia. Microsoft's own page says customers outside the EU may have queries processed in the US, EU or other regions.

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Regulation

Privacy complaints rose 60 per cent in a year. The regulator links the rise to concern about AI companies, among others, but its annual report gives no count of complaints about them

The OAIC received 5,268 privacy complaints in 2025-26, up 60 per cent. Its annual report says the rise appears to be attributable to concern about privacy, especially about social media, AI companies and data brokers, citing its attitudes survey. Its table of complaints by sector has no line for AI.

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Government

The Commonwealth’s AI policy now sorts government AI into seven kinds, not four. The DTA’s assessment tool still offers the old four

Version 2.1 of the Policy for the responsible use of AI in government, published 21 October 2026, changes no requirement. It adds Appendix D, a classification of AI use that agencies must apply in their registers, impact assessments and transparency statements: seven usage patterns where there were four, including coding, workflow automation and strategic support, and a decision-making category redefined around effect on rights or interests. The DTA's impact assessment tool still offers the old four boxes.

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Regulation

When smart glasses record you, the Privacy Act binds the company holding the data, likely the app maker. The OAIC is investigating the one behind Kmart’s Anko glasses

Who is responsible under Australian privacy law when smart glasses record you? The Privacy Commissioner says it is the entity holding the personal information, likely the software provider, and a retailer or manufacturer that collects nothing may have no Privacy Act obligations. Most collection needs no consent. On 7 October the OAIC announced an investigation into the maker of the HeyCyan app after it did not answer preliminary inquiries.

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Policy

The Digital Duty of Care bill now names AI services. It still repeals the standard that makes some of them test models and differentiate outputs

The Online Safety Amendment (Digital Duty of Care) Bill 2026 was introduced on 15 October and sent to a Senate committee, whose submissions closed on 30 October. Against the September draft, a service that generates material using AI is now an online service in its own right and pre-deployment testing appears in the explanatory memorandum. Schedule 3 still repeals every industry code and standard, with no saving item.

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Regulation

Parliament's AI committee wants independent evaluators embedded in frontier labs operating in Australia, and early model access for ASD

In a 12 October letter to the Prime Minister, the Joint Select Committee on Artificial Intelligence recommends mandated independent evaluators inside frontier labs operating in Australia, incident reporting with clear deadlines, early access to new models for agencies such as ASD, a standing parliamentary committee, and pro-Australian procurement rules. Its full report is due by 30 November.

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Research

“Correctness alone is insufficient as an assurance target”, says a CSIRO report for the AI Safety Institute whose experiments tested AI verifiers, not people

A CSIRO report the AI Safety Institute published on 8 October finds an AI can be right on the task it is checked on and still shift its overseer's beliefs about something else. Its experiments used AI verifiers, and the clear steering result came when an adversary controlled the verifier's training. The Institute's summary page leaves that condition out.

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Regulation

ASIC’s banking sector AI review, expected to commence in Q2 2026-27, will focus on banks’ new and proposed AI uses and the impact on customers

ASIC's 30 September letter to bank boards lists a banking sector AI review among its new activities for 2026-27, focused on new and proposed use cases of AI by banks and the impact on customers. It is the only one of ASIC's five sector letters to give AI its own heading and an expected start. The general insurance letter does not mention AI.

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Regulation

ASIC added an effect-based limb for agentic AI to its trading rules: from March 2028, market participants must consider a client order’s effect, not just intent

ASIC's amended market integrity rules, registered 17 September 2026, bar a market participant from acting on a client's order it ought reasonably suspect will have the effect of creating a false or misleading appearance. The consultation paper proposed an intention test only; ASIC added the effect limb afterwards, citing agentic AI. The rules commence on 18 March 2028.

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Government

Government AI agents: 14 of 25 new criteria say agencies ‘must’, in an addendum to a standard the AI policy strongly recommends

The DTA points to its agentic AI addendum as the foundation for Australia's part in a new OECD working group. Read in full, 14 of its 25 new criteria sit under 'Agencies must': a human accountable for agents' decisions, oversight that is human-in-the-loop or human-on-the-loop, kill switches. It calls itself best practice guidance, and the binding AI policy lists the standard it extends under recommended actions.

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Government

The public service’s AI Review Committee has met. Its terms of reference send the advice to the minister and a summary to the public

The AI Review Committee's first meeting, on 26 June, considered two staff-facing AI uses at the Attorney-General's Department and Services Australia. The DTA announced it on 7 October, 103 days later, with terms of reference under which the Minister for Finance receives the minutes and the advice issued to agencies, and the public gets communiques. The communique says it is not an endorsement or approval.

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Policy

Australia’s draft privacy bill would treat an AI inference about you as collecting your personal information

The exposure draft Privacy Amendment (Personal Data Protection) Bill 2026 never uses the words artificial intelligence. Its AI rule is a definition: personal information is collected however it is obtained, including by generating or deriving it, which the consultation paper says will make AI inferences count as collection. That puts them under a new fair and reasonable test and, for sensitive inferences, a consent rule with exceptions. It is a draft; submissions closed 18 September.

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Policy

The draft Digital Duty of Care would repeal the parts of the Online Safety Act that eSafety’s generative AI rules are made under, and put one general duty in their place

The exposure draft Online Safety Amendment (Digital Duty of Care) Bill 2026, released 8 September, repeals the Online Safety Act's industry codes and standards and its basic online safety expectations, the instruments that carry Australia's generative AI safety duties, with no provision keeping them in force. In their place is one general duty, backed by 60,000 penalty units. The bill had not reached Parliament as at 6 October.

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Government

All 10 NSW agencies the auditor examined use AI. Half have an AI policy, and one has considered AI in procurement.

The NSW Auditor-General's Internal controls and governance 2026 report examined 10 agencies with the highest AI use or potential benefit. All 10 have addressed accountability for AI and eight train staff, but half have an AI policy, four have considered AI in IT policies and one in procurement. The rules changed just before the report was published: a mandatory AI Operational Policy now requires registration and an annual attestation, the first due 31 October 2027.

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Policy

The Commonwealth’s new AI-risk direction is a legacy technology order: stocktake and plan due 31 March 2027

PSPF Direction 002-2026, published 29 September 2026, names AI in its title and frontier AI in its reasoning, then requires every non-corporate Commonwealth entity to stocktake its legacy technology and send Home Affairs a risk management plan with a reduction target by 31 March 2027. Systems of Government Significance report by 31 December 2026. No AI tool is banned, approved or named.

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Policy

The Commonwealth’s advice on frontier AI cyber risk is that you do not need frontier AI

PSPF Policy Advisory 001-2026, Cyber Security Readiness in the Frontier AI Era, says Australian Government entities do not need access to the most advanced frontier AI models to stay protected. It describes a vulnerability storm and exploit timelines collapsing from days to hours, and answers with the Essential Eight, the ISM and existing PSPF requirements. In ASD's six-strategy annex, adopting AI for cyber defence is fifth and medium-term.

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Policy

Parliament's AI inquiry made 13 recommendations. The response took 16 months and answered none of them by number

The Senate Select Committee on Adopting AI tabled 13 recommendations on 26 November 2024. Senate practice requires a government response within three months. It was tabled in the House of Representatives on 1 April 2026, sixteen months later, in five thematic parts that never address the recommendations by number. The Senate's own status pages still do not record it.

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Policy

Two frameworks bind how the Commonwealth uses AI, not one. The second is the one nobody points you at

Two frameworks bind Commonwealth AI use, not one. The Policy for the responsible use of AI in government reached version 2.0 on 15 December 2025 and carries eight mandatory requirements for non-corporate Commonwealth entities. The Protective Security Policy Framework binds the same entities, and its Directions include a standing ban on DeepSeek products and a requirement to adhere to the Commonwealth Technology Standard. The APS AI Plan, the AI technical standard, the agentic addendum and the PSPF policy advisories are guidance.

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Regulation

We read the FIIG judgment every AI cyber letter cites. It names five factors, and not the phrase you have been given

ASIC tells licensees that cyber risk management must be demonstrably effective and proportionate to the size, nature and complexity of a business, as set out in the FIIG judgment. We read the judgment. Those words are not in it. What is in it is a five-factor test that is more concrete and more useful, plus an explicit statement that the law does not require perfection.

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Policy

From 10 December every Australian privacy policy must disclose automated decisions. Here is the test, and the phrase it turns on

The automated decision-making transparency obligation commences 10 December 2026 under the Privacy Act. It has a three-limb test, and the limb that decides scope is whether a decision could reasonably be expected to significantly affect a person's rights or interests. The OAIC ran an Issues Paper consultation on what that means; it closed 15 June 2026 and the guidance is not out.

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Policy

The AI Safety Institute has published its first report. Its sharpest finding is that nobody owns the fix

On 10 August the Australian AI Safety Institute published its first publication, 119 pages by Gradient Institute on risks and controls for multi-agent systems. It answers a question we left open on 31 July, and its hardest conclusion is that the controls for AI agents meeting across organisations depend on infrastructure no single organisation can build. There is no Let's Encrypt for agent identity, and the report says nobody is positioned to become one.

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Policy

Australia signed a trilateral tech pact about green energy and critical minerals. The MoU that implements it is about AI

The ACITI Partnership was announced in November 2025 with an emphasis on green energy innovation, resilient supply chains and critical minerals, and AI as something it would also examine. The memorandum of understanding whose signing was announced in July 2026 sets up four working streams, all of them AI, and does not mention minerals, energy or net zero at all.

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Policy

We passed on the government’s claims about its AI Safety Institute. Then we checked them.

Australia's AI Safety Institute was announced on 25 November 2025 and sits inside the department it advises. Its technical partners include the Australian Signals Directorate. The multi-agent risk project cited as its work was published four months before it existed and funded by the department. And the international network it belongs to has dropped the words AI Safety from its name.

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Policy

The privacy regulator has rewritten its facial recognition guidance around one retailer’s loss

The OAIC has updated its guidance on facial recognition in retail spaces to implement the Administrative Review Tribunal's findings in the Bunnings matter, which covered 62 stores between 2018 and 2021. The Privacy Commissioner says a precautionary approach is required and that each deployment must still be assessed individually. The Kmart determination remains under review with hearings in early 2027.

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Research

Four per cent of Australians trust AI companies. The government's own survey says so.

The OAIC's triennial Australian Community Attitudes to Privacy Survey put AI companies equal-last on trust at 4 per cent. Ninety-six per cent want conditions before AI makes a decision about them, and every condition measured in both years rose. We read the 2026 report and set it against the policy Australia actually chose.

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Data

Australia has 1,533 AI companies and 23 research papers for every patent

The National AI Centre and CSIRO's census of Australia's AI ecosystem counts 1,533 companies, 25 urban clusters led by Melbourne CBD, patents nearly quadrupling, and a commercialisation gap of almost 23 publications per patent. The numbers, charted from the report.

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