AI Governance Gaps Emerge Across Government and Private Sector
A series of incidents highlights widespread failures in AI oversight, including Australian government agencies missing transparency deadlines, a KPMG report riddled with alleged AI-generated hallucinations, and a survey showing most security leaders are concerned about AI-generated code risks. These cases share a common thread: institutions adopting AI faster than they can build governance frameworks to manage it. The pattern raises broader questions about accountability when AI errors affect public policy, corporate research, and software security.
In Australia, more than half of the 92 government agencies required to publish AI transparency statements missed a February 28, 2025 deadline, according to documents tabled in the Senate by the Digital Transformation Agency (DTA). A further 30 agencies failed to nominate an accountable official for AI use, and some agencies were unaware of the requirements entirely. Independent Senator Fatima Payman questioned how a government that cannot regulate its own AI use can credibly oversee AI in the private sector, while legal experts noted the DTA lacks enforcement powers to compel compliance. Separately, research firm GPTZero alleged that KPMG's October 2025 report on agentic AI contained only 5 correctly cited sources out of 45, with roughly half of factual claims described as false, unsupported, or misattributed — a phenomenon GPTZero termed 'vibe citing.' KPMG has removed the report from some of its websites and said it is reviewing the circumstances of its publication. Meanwhile, a Salt Security survey found 90% of security leaders are concerned about risks from AI-generated code, yet more than a third of organisations still rely on manual code review processes ill-suited to the volume and speed of AI output. Taken together, these incidents illustrate a systemic lag between AI adoption and the governance, verification, and enforcement mechanisms needed to manage it responsibly.
What's missing
The KPMG hallucination allegations rest entirely on GPTZero's analysis; KPMG has not yet published the findings of its own internal review, and GPTZero's methodology for classifying citations as fabricated versus merely imprecise has not been independently verified. For the Australian government story, it remains unclear whether the newly created central register of AI transparency statements will be subject to independent audit.
How coverage differed
The Register framed the KPMG story with dry skepticism and industry critique, noting that consulting firms 'have spent years warning clients about AI hallucinations' before apparently falling victim themselves. The Financial Times coverage, while limited in the provided text, appeared more straightforward and factual without the editorial commentary, suggesting a difference in tone rather than substance.
What different sources said
- TechRadarCenter
Nearly all security bosses are worried about AI safety — with a third saying they still rely on manually reviewing code before launch
- ABC AustraliaCenter
Government agencies fail first hurdle under AI self-reporting policy
- Financial TimesCenter
KPMG report contained AI hallucinations on benefits of . . . AI
- The RegisterCenter
KPMG's AI report becomes an accidental demo of AI hallucinations
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