Your AI training records prove nothing about judgment
Attendance, tool certificates and self-rated confidence are the three records most organisations hold on AI capability. None of them shows whether a person decides well with AI in the room.
As far as AIR APAC can establish, no regulator in the region has yet fined an organisation for acting on unverified AI output. The courts moved first. In Singapore the penalty landed on named lawyers, and the duty to check was held to be non-delegable. Courts in Victoria and Hong Kong criticised unverified AI material too.
In 2025 a lawyer in Singapore cited an authority in written submissions to the High Court that did not exist. Asked whether an AI tool had been used, the lawyer said that a junior had run the research through an AI app, and that this was why the case appeared. The court gave that explanation no weight. It ordered the lawyer, personally, to pay S$800 in costs. The sum was small enough to make the point without the headline. The point was in the reasoning. A lawyer owes a professional duty to ensure that everything placed before the court exists and is accurate, and that duty cannot be delegated to a junior. Legal research done with an AI tool must be independently verified.
In March 2026 the same court dealt with two lawyers whose written submissions contained two non-existent authorities. A joint sum of S$1,500 was put forward for the two of them. The judge rejected it and ordered S$5,000 from each, personally. The 2026 judgment describes the 2025 case as the first reported case in Singapore on counsel citing fictitious authorities. There is now a line of them.
The pattern is regional, not Singaporean. In August 2025 a senior barrister in Victoria took full responsibility before the Supreme Court for defence submissions in a murder case that contained fabricated quotations and citations to cases that do not exist. The judge's associates could not find the cases. The hearing was delayed a day. The lawyers said they had checked the initial citations and assumed the rest were accurate. The judge said the use of AI was not acceptable unless its product was independently and thoroughly verified. The prosecution had not checked the submissions either. In April 2026 the Federal Court of Australia published a practice note on generative AI. A law-firm summary of the note says that non-compliance may bring adverse costs orders and professional repercussions for practitioners.
Hong Kong's courts have made a similar criticism. In a 2025 Court of First Instance matter, the court criticised a written-submission addendum that it said had been constructed using artificial intelligence, and allegations made without any evidential basis. The judgment is published in Chinese and AIR APAC has not read it. The sanction in that case is not confirmed in public reporting and is not stated here.
The scale is larger than the handful of reported cases suggests. A database maintained by the researcher Damien Charlotin logs court decisions in which a judge found, or implied, that a party relied on fabricated AI material. It also includes some decisions where AI use was alleged but not confirmed. On 16 October 2026 it listed 2,199 decisions worldwide, 112 of them in Australia. The database records only decisions where a court wrote the finding down, so it undercounts by design, and the number changes as decisions are added. The scale is not in doubt.
Every one of these cases has the same structure, and the structure is not legal. A tool produced a load-bearing claim. A person with the ability and the opportunity to check it did not. The claim went out under the person's name to a recipient entitled to rely on it. The consequence landed on the person. Replace the court with a board, a client, a patient or a tourism board's public, and the structure holds.
A board paper with an AI-generated market figure that nobody traced. The director who votes on it has relied on the person who presented it. If the figure is wrong, the question in the room will be who checked it, and "the tool produced it" is the answer the Singapore court has already rejected.
A tender response with a capability claim the assistant drafted from an old proposal. The procurement team is entitled to rely on it. If the capability does not exist as described, the organisation has misrepresented itself in a document a named person signed.
A medical note, a safety assessment, a press release from a public body describing its own city. In each case there is a recipient who cannot check, a person who could have, and a name on the document. The courts have been the first to say so because courts are where unchecked claims are read most carefully. They will not be the last.
For HR and L&D: the Victoria case is the training example because the people in it were senior and skilled, and had checked part of the list. The failure was a check that stopped partway, with nobody checking the rest. That is a role-definition problem before it is a skills problem.
This article should not overstate the regulatory position, because the credibility of the argument depends on getting it right. No regulator in the region has, as far as AIR APAC can establish, fined an organisation specifically for acting on unverified AI output. Korea's AI Basic Act has been in force since 22 January 2026, with fines capped at 30 million won (about US$21,000) and, the science and ICT ministry has indicated, not imposed for a year. Japan's AI Promotion Act sets no fines for business. Australia's National AI Plan, released on 2 December 2025, confirmed that Australia will not introduce mandatory guardrails for high-risk AI. Singapore's agentic AI framework, launched in January 2026, is voluntary. Malaysia's AI Governance Bill went to public consultation in July 2026 and, on the sources AIR APAC has seen, is not yet law. Vietnam's Law on Artificial Intelligence took effect on 1 March 2026, with transition periods for systems already in operation.
What is enforceable today comes from three directions, and all three name a person or an organisation. Courts, through personal costs orders. Clients, through contract: Deloitte agreed to repay part of its fee to the Australian government after a report it wrote contained apparent AI-generated errors, and the firm's name was in every headline. Professional bodies, through the duties that already attach to a signature. None of those three waited for an AI statute, because none of them needed one. The duty to verify what you put your name to predates the tool.
For a risk function, that reframes the question. The question is not when the AI regulation arrives. It is which of the organisation's documents already carry a signature, a recipient entitled to rely on them, and a load-bearing claim that nobody traced.
The court did not ask whether the tool was reliable. It asked who had checked, and the answer was a name.
AIRS-J/1 dimension T1, Evidence Verification, describes the behaviour the courts were looking for. Level 0 is acting on an unverified claim where verification was available and the claim was load-bearing, or treating system output as established fact. Level 2 checks the load-bearing claim against an available source before acting, without being prompted, and distinguishes generated content from retrieved content. The Victoria lawyers had checked the first citations and assumed the rest. For the citations they did not check, verification was available, the claims were load-bearing and the work went out: that is the Level 0 pattern.
The Standard goes further than a single score for the most serious form of the failure. Its Annex D lists a small set of critical-review patterns. The first, CR-T1, is triggered when a person represents a load-bearing claim as verified and the retained trace shows it was not. Two further conditions apply: verification was available within the assessment environment before commitment, and acting on the claim creates a credible irreversible or non-financial harm pathway. A matching observation is not averaged into a score. It renders the dimension Insufficient Evidence pending targeted reassessment on an unexposed decision point. That is the Standard's version of what the Singapore court did: it refuses to let the rest of a good performance absorb the one claim that should have been checked and was not.
The name on the credential is the name on the document. A certifying result under AIRS-J/1 is earned by an individual, belongs to the individual and survives a change of employer. That matches the direction the courts have taken. The duty is personal, and so is the evidence that it was discharged.
Most regulators in the region are still drafting or waiting. The courts have already decided that the person who signs is the person who checks, and the Standard is how that duty becomes visible before a judge has to find it.
Name who verifies, against the T1 anchor
AIRS-J/1 assesses how a person decides, not what they know. A result is not a measure of intelligence, personality, AI technical skill or domain expertise, and it is not a substitute for supervision, professional licensing or regulatory authorisation. This article is not legal advice and does not describe the law of any jurisdiction beyond the public facts of the cases named. Court decisions concern professional conduct and costs; none of them scored anyone against the Standard, and the application of T1 to their facts is an illustration. The regulatory summary reflects public reporting as at 19 October 2026 and may be out of date. The Charlotin database count is a third-party figure that undercounts by design.
AIR APAC publishes these articles in the institution's voice. Every figure carries its source and its limit. All articles.
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