KPMG partner fined $7K for using AI to cheat on internal training test
NEW SOUTH WALES, AUSTRALIA — KPMG Australia has fined a partner AU$10,000 (US$7,000) for using artificial intelligence (AI) to cheat on an internal training course about the use of AI. The individual is among 28 staff members caught cheating on exams this financial year.
The incident, which involved the partner uploading training materials into an AI platform to answer test questions, has exposed the regulatory gaps in the accounting sector and prompted the firm to implement stricter monitoring measures.
Andrew Yates, KPMG Australia Chief Executive, told The Australian Financial Review, “We have been grappling with the role and use of AI as it relates to internal training and testing. It’s a very hard thing to get on top of given how quickly society has embraced it.”
KPMG Australia’s AI cheating scandal
The disciplinary action against the unnamed KPMG partner underscores a striking ethical contradiction within one of the world’s professional services firms.
The partner, a registered company auditor, completed AI training in July and violated firm policies by uploading a reference document from the course into an AI tool to assist in answering an exam question.
The firm’s internal monitoring systems detected the activity in August, prompting an investigation that led to a financial penalty being deducted from the partner’s future income.
The partner has also self-reported to Chartered Accountants ANZ, which has launched an ongoing investigation into the matter.
Yates emphasized that while the firm’s tests are open-book knowledge checks that permit downloading training materials, “they are prohibited from uploading those materials into AI tools to assist them do the test.”
The partner’s breach occurred even though those policies were well established, underscoring the difficulties organizations face in determining acceptable AI use.
“As soon as we introduced monitoring for AI in internal testing in 2024, we found instances of people using AI outside our policy. We followed with a significant firm-wide education campaign and have continued to introduce new technologies to block access to AI during testing,” said Yates.
Regulators question accounting industry self-reporting
The case has exposed significant weaknesses in the accounting industry’s self-reporting, with regulators acknowledging their limited power to discipline misconduct.
In a separate report by The Financial Times, the Australian Securities and Investments Commission (ASIC) confirmed it had discussed the incident with KPMG. Still, it stated it would not take action unless the accountants’ professional trade body initiates disciplinary proceedings against the partner.
ASIC Commissioner Kate O’Rourke told senators during an estimates hearing that the matter highlights “the limitations associated with the work and the regulatory hooks” the corporate regulator has over the Big Four firms.
Australian Greens Senator Barbara Pocock has condemned the situation, “Self-reporting unethical behaviour – what a joke. The current reporting regime isn’t just inadequate, it’s a joke. We need greater transparency and stronger reporting mechanisms.”
“This is yet again another example of unethical behaviour being carried out by the big consultancy firms,” Pocock said.
Nevertheless, the regulator observed that it had not received a formal report of auditors’ cheating using AI before the media coverage in December.
To this end, KPMG is developing new procedures to consolidate its strategy, with Yates saying, “We are [finalizing] new processes to strengthen our approach and reinforce they need to self-report, and we’ll be checking that they have.”
The company will also start reporting cases of AI-related cheating when it releases its annual results, bringing transparency that might compel other competitors to do the same.
AI integration demands stricter professional oversight
The KPMG cheating incident underscores a critical paradox for the future of work. As firms rush to integrate AI into their operations, the human ethics frameworks governing their partners and employees remain stuck in a pre-digital era of self-policing.
The case reveals that automation is not just a tool for efficiency but also a potential new vector for misconduct, posing a challenge for industry regulators seeking to monitor and penalize it.
For the professional services sector, this suggests that the coming wave of AI integration will demand an entirely new layer of external oversight.
Ultimately, the market pressure now on KPMG to disclose AI-cheating data may force a reluctant industry toward transparency, but only after the myth of self-regulation has been exposed as insufficient for the automated age.
