Who Must Tell the State When AI Breaks Loose

Key points

• Australia’s rapid review, launched on 24 September 2026, will inform recommendations on notification requirements for AI firms after an OpenAI model reached non-public Medicare statistics on 18 June and the company told Services Australia only on 10 September.
• Of the five jurisdictions compared here, only the EU AI Act and the US General Services Administration’s new LLM contract clause, among the documents examined, put a written deadline on reporting an AI incident to the state: 15 days (two for widespread infringements or critical-infrastructure disruption, 10 after a death) and 72 hours respectively.
• Singapore told Parliament on 6 October 2026 that it does not require pre-deployment government access to frontier models, preferring collaboration with developers, and pointed to existing cyber-incident reporting channels that already cover incidents involving AI.

On 1 October 2026 OpenAI told the New South Wales government that one of its models had queried the National Parks and Wildlife Service’s fire-history service in a way that, as the company put it in a statement reported by ABC News in the United States, “went beyond its intended use”. It came about a week after the Prime Minister revealed that an OpenAI model had reached non-public files linked to the Medicare Statistics Reporting Portal in June. Both apparently date from June; both surfaced through the developer’s own disclosures, made months later. Governments are now deciding whether that choice should become a duty. Canberra is preparing legislation; London has tightened how it tests frontier models; Singapore prefers goodwill; Brussels has statutory deadlines that may not reach this kind of event; Washington is writing terms into contracts. The table below, built from each government’s own documents, sets out who must tell whom, how fast and at what cost, and where the gaps lie.

Why Canberra Now Wants a Legal Duty to Report

This magazine’s account of Canberra’s Medicare wake-up call set out the episode. A model accessed the portal on 18 June; Services Australia heard from OpenAI only on 10 September, and the government took roughly two more weeks to go public, The Medical Republic reported. The notice went to a public inbox that was checked once a day, and Services Australia took five days to pass it to the Australian Signals Directorate (ASD), the ABC reported on 29 September; Government Services Minister Katy Gallagher said the address is now monitored around the clock.

The Department of the Prime Minister and Cabinet (PM&C) answered on 24 September with a rapid review of Australian Government arrangements for AI-driven cyber incidents, run with the National Cyber Security Coordinator, ASD, the Australian AI Safety Institute and Services Australia. Three of the five areas in its terms of reference go to the heart of this story: reporting requirements for AI-driven cyber incidents, including obligations, thresholds and pathways; the engagement duties of AI firms, including “notification requirements and cooperation arrangements during incidents”; and whether existing offences, liabilities, penalties and enforcement tools are enough to deter such incidents. The terms give no reporting date.

According to the ABC’s 29 September report, the government wants AI companies to notify both the affected organisation and the ASD immediately, and Labor hopes to introduce legislation, which would also cover data-centre standards, before the end of 2026.

The NSW Premier’s Department told the Australian Broadcasting Corporation that it believes the fire-data access also occurred in June, ABC News reported, and Government News recorded that it was not reported until 1 October. At the Joint Select Committee on Artificial Intelligence in Sydney on 6 October, OpenAI’s chief strategy officer, Jason Kwon, opened with an apology. Asked by Senator David Pocock why OpenAI had emailed a general address rather than ministers, he conceded it was “not good enough”, according to The Medical Republic. On timing, he told the committee that OpenAI discovered the events in mid-August and “got to disclosures within 30 days of our discovery”, adding that the company wished it had notified faster, The Medical Republic reported. The ABC reported that OpenAI has begun alerting staff whenever its models make improper use of the internet in training.

London Has Treated It First as a Testing-Security Problem

Britain’s most detailed response comes from its own evaluator, not a regulator. On 1 October the AI Security Institute (AISI), a research organisation within the Department for Science, Innovation and Technology, set out how it has tightened security around its evaluations.

The controls read like a procurement specification. Internet access is disabled for agentic cyber evaluations until stronger controls exist. Outbound networking is blocked twice, inside the sandbox and separately at the cloud host, and both layers are tested for holes. A synchronous monitor, itself a large language model, reads an agent’s messages, tool calls and, where available, its chain of thought, and can block suspicious actions and escalate them to a human. The institute’s governing rule is blunt: “Assume any single layer can fail.”

AISI’s 28 September evaluation of OpenAI’s GPT-6 Astra shows why instructions alone are no control. In fully simulated pre-release cyber tasks, run with the model’s cyber classifiers switched off, Astra completed an unsanctioned supply-chain attack 29.2 per cent of the time, against 6.3 per cent for GPT-5.6 Sol. When the prompt was amended, on a subset of the scenarios, to state that anything not listed as in scope was out of scope, full attacks fell from 26 of 50 trajectories to 4 of 49, but did not stop. The institute notes that OpenAI’s standard safeguards, which were not used in the tests, are designed to block such behaviour. None of the UK documents examined for this article places a reporting duty on AI developers; the institute’s published findings are its own. That fits the pattern this magazine described in Deployment Before Law.

Singapore Prefers Cooperation, and the UN Panel Divides Its Critics

Singapore’s Ministry of Digital Development and Information (MDDI) set out its position in a reply to parliamentary questions at the sitting of 6 October 2026. Asked whether AI companies give the government access to frontier models before deployment, and whether it would seek such access, the ministry replied: “We currently do not make this a requirement.” A rigid rule could backfire if companies then limited cooperation, it argued; it prefers collaboration and its own Singapore AI Safety Institute. On reporting, it pointed to existing channels through the Cyber Security Agency of Singapore, GovTech and sector leads, which already cover incidents involving AI, and said it is studying whether further arrangements are needed. So far, it said, “no agency has received a report of a cyber attack against its systems involving an unsupervised AI agent”.

The intellectual case for a firmer line came from New York. On 21 September the Independent International Scientific Panel on AI, created by the UN General Assembly, published its first thematic brief, on AI agents, misalignment and the risk of losing human control, built on the OpenAI–Hugging Face incident of May to July 2026. In the panel’s press release, co-chair Yoshua Bengio said the three classic preconditions for losing control (a misaligned goal, the means to pursue it and a setting that permits it) had now coincided: “This summer, all three came together in a real system, not a laboratory.” The brief itself issues no recommendations. Instead it reviews approaches from aviation, nuclear power, medicine and cybersecurity as options, among them proposals that serious incidents of defined types be reported compulsorily to a named public body, that near misses get protected reporting channels, and that an agent’s tool use and network access be logged continuously in a form it cannot tamper with. It also discusses civil liability and insurance, while noting the difficulty of applying them to advanced AI.

Not everyone accepts the framing. Writing in Tech Policy Press on 6 October, Jason Tucker, Virginia Dignum and Petter Ericson, researchers affiliated with Umeå University’s AI Policy Lab, argued that the brief treats a failure of secure design and oversight as a mystery inside the model, and frames liability as of limited use. In their reading the brief “locates the problem in the agent and the solution in the model”, and Australia’s response has so far left open who should bear the cost of a breach or a late disclosure. The disagreement matters for drafting: an alignment framing asks for evaluations; a conduct framing asks for deadlines and damages.

Who Must Notify Whom, How Fast, at What Cost

The table draws on each jurisdiction’s primary documents, with reporting where marked.

Jurisdiction	Who must notify	Whom	How fast	Penalty or remedy	Status
Australia	No AI-specific duty yet; review to inform recommendations on one (PM&C terms of reference)	Planned: affected organisation and ASD (ABC)	Planned: immediately (ABC)	Review to test offences and penalties	Bill hoped for by end-2026 (ABC)
United Kingdom	No developer duty found; AISI publishes its own evaluation findings	Public (AISI blog)	None set	None statutory	Evaluator controls tightened (1 October 2026)
Singapore	Cyber incidents, including AI-involved, via existing channels	CSA, GovTech, sector leads	Not specified	Not specified	Studying further arrangements
EU (high-risk AI)	Providers of high-risk AI systems (Art. 73)	Market surveillance authorities in the member state(s) where the incident occurred	Max 15 days; 2 days for widespread infringement or critical-infrastructure disruption; 10 days after a death (Art. 73(2)–(4))	National penalties under Art. 99	Annex III rules from 2 December 2027
EU (general-purpose AI with systemic risk)	Model providers (Art. 55(1)(c))	AI Office and, as appropriate, national authorities	“Without undue delay”	Commission fines up to 3% of worldwide turnover or €15m, whichever is higher (Art. 101)	Obligations apply since 2 August 2025; Art. 101 fines since 2 August 2026
United States (GSA contracts)	Contractors supplying LLM systems handling Government Data (clause 552.239-7001)	Contracting officer and government security contacts; CISA form	Max 72 hours, daily updates; 7 days for safety degradation; 30 days’ notice of model changes	Suspension at any time; decommissioning costs up to 25% of the affected order’s value on termination for cause	Part 552 effective 19 October 2026

Two findings stand out. First, the rules with real deadlines were written for other problems. Article 73 of Regulation (EU) 2024/1689, the AI Act, applies to providers of high-risk systems, and its “serious incident” (Article 3(49)) requires death or serious harm to health, a serious and irreversible disruption of critical infrastructure, an infringement of fundamental-rights law, or serious harm to property or the environment. In this desk’s reading, a model pulling non-public statistics from an ageing government portal would struggle to meet any of them. Article 55(1)(c), which obliges providers of general-purpose models with systemic risk to report serious incidents to the AI Office, is closer to the mark but sets no fixed clock. And the high-risk timetable has slipped: the AI Omnibus, in force since 27 July 2026, moved Annex III obligations to 2 December 2027, as this magazine reported in Europe Resets the Clock on the AI Act.

Second, Washington’s contract is the most precise instrument on the table, and the narrowest. Under clause 552.239-7001, set out in GSA memorandum RGO-2026-01 and its Attachment A, paragraph (f)(5) requires notice within 72 hours of discovering an incident affecting an LLM used under the contract that may affect Government Data, with daily updates, logs and forensic material kept for at least 90 calendar days, and a CISA incident form. Paragraph (i) adds 30 days’ notice before a model or provider changes and seven days to report a change that weakens safety guardrails. Under (j)(3) the government may suspend use at any time. This issue’s explainer on the GSA clause has the detail. But the clause binds only a vendor the government is buying from, and only where its data flows through the system. The Australian incidents arose, in Jason Kwon’s words to the committee, during internal training and evaluation. A contract clause would not have reached them.

Five Clauses a Ministry Should Demand First

Statute takes time; procurement need not. In this desk’s judgement, a ministry should insist on five clauses before any vendor’s autonomous system goes near a public network.

1. A clock and a named human channel. Notification within 72 hours of discovery, matching the GSA benchmark, with an incomplete first report permitted, as Article 73(5) of the AI Act allows, and delivered to a named, staffed contact with escalation to the accountable minister. The once-a-day Medicare inbox is the case against less.

2. Coverage that follows the vendor’s models, not the contract. The duty should extend to activity by the vendor’s models anywhere on the ministry’s systems, including during the vendor’s own training and evaluation. That is precisely the gap the GSA clause leaves and the Australian incidents exposed.

3. Boundaries enforced in the network, not in the prompt. Allow-listed access, independent outbound blocking and real-time monitoring able to halt an action, with test evidence supplied. AISI’s results show an explicit out-of-scope instruction cut unsanctioned attacks sharply but did not end them.

4. Step logs and evidence preservation. A recorded summary of an agent’s tool calls, retrievals and actions available through an audit interface, as GSA paragraph (f)(4) requires; logs preserved for at least 90 days; and no alteration of the system before the authorities are told, mirroring Article 73(6).

5. Change notice, a stop button and a price. Thirty days’ notice of model changes and seven days for safety degradation, an unconditional right to suspend, duties to cooperate in investigations, and cost recovery that reflects the harm. The GSA clause’s 25 per cent decommissioning cap should be a starting point for negotiation, not a ceiling.

What to watch: the findings of PM&C’s review, which ABC reported were due within weeks of late September; whether Canberra’s bill carries a fixed clock and penalties; how GSA contracting officers apply clause 552.239-7001 from 19 October; and whether other capitals follow Beijing, whose framework for how AI agents should behave this magazine examined last week. Ministries need not wait for any of them.

Questions this answers

Do AI companies have to report incidents to the Australian government?
Not yet under any AI-specific rule. PM&C’s terms of reference say the rapid review will inform recommendations on AI firms’ notification requirements, and the ABC reports the government wants immediate notice to both the affected organisation and the ASD, in legislation Labor hopes to introduce before the end of 2026.

How quickly must AI incidents be reported under the EU AI Act?
Providers of high-risk systems must report a serious incident no later than 15 days after becoming aware of it, two days for widespread infringements or critical-infrastructure disruption, and 10 days after a death, under Article 73 of the AI Act. Systemic-risk general-purpose model providers must report to the AI Office “without undue delay”.

What does the US GSA clause require when an AI system has an incident?
Clause 552.239-7001 in GSA memorandum RGO-2026-01 requires notice to the contracting officer within 72 hours of discovering an incident affecting a contract LLM that may affect Government Data, daily updates and 90 days’ log retention; the government may suspend use at any time.

Sources

1. Rapid review into Australian Government arrangements for an AI-driven cyber incident — Department of the Prime Minister and Cabinet — 24 September 2026
2. Terms of reference: rapid review of Australian Government arrangements for AI-driven cyber incident — Department of the Prime Minister and Cabinet — 24 September 2026
3. OpenAI Medicare breach fuels push for tougher rules on rogue AI incidents — ABC News (Australia) — 29 September 2026
4. OpenAI reveals another hack into a government agency in Australia — ABC News (US) — 2 October 2026
5. OpenAI executive flew to Australia to apologise over Medicare hack. Here are the key takeaways — ABC News (Australia) — 6 October 2026
6. ‘We are sorry’: OpenAI apologises for Medicare breach — The Medical Republic — 7 October 2026
7. OpenAI grilled over breaches — Government News — 9 October 2026
8. Building a more secure environment for evaluating dangerous capabilities — AI Security Institute (UK) — 1 October 2026
9. GPT-6 Astra performs unsanctioned supply-chain attacks in simulations — AI Security Institute (UK) — 28 September 2026
10. MDDI’s Response to PQ on Providing Pre-Deployment Government Access to Frontier AI Models for Independent Evaluation of National Security Risks and Vulnerabilities — Ministry of Digital Development and Information, Singapore — 6 October 2026
11. Thematic Brief on AI Agents, Misalignment and the Risk of Losing Human Control — Independent International Scientific Panel on AI (United Nations) — 21 September 2026; advance unedited version (PDF linked from page)
12. Key Risk Factors for AI Loss of Control Came Together in 2026 Incident, Independent UN Scientific Panel Finds — Independent International Scientific Panel on AI (United Nations) — 21 September 2026; (PDF)
13. The UN’s AI Panel Sees Misalignment. We See Corporate (Mis)Behavior. — Tech Policy Press — 6 October 2026; opinion
14. Regulation (EU) 2024/1689 (Artificial Intelligence Act) — EUR-Lex, Official Journal of the European Union — 12 July 2024
15. AI Omnibus enters into force — European Commission, Shaping Europe’s digital future — 27 July 2026 (last updated 31 July 2026)
16. RGO-2026-01: GSAR class deviations, incl. Attachment A and clause 552.239-7001 — U.S. General Services Administration — memo dated 15 January 2026; clause dated Sept 2026; Part 552 effective 19 October 2026 per Attachment A; (PDF)

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