KPMG Australia Faces Scandal Over AI-Cheating in Internal Exams, Sparking Calls for Tighter Oversight

February 16, 2026
KPMG Australia Faces Scandal Over AI-Cheating in Internal Exams, Sparking Calls for Tighter Oversight
  • KPMG Australia disclosed that more than two dozen staff used AI to game internal exams since mid-2025, with the cheating detected by the firm’s own AI monitoring tools.

  • A senior KPMG Australia partner was fined A$10,000 for using generative AI to complete an internal ethics AI training assessment, after which the partner redid the test.

  • KPMG plans to publicly report AI misuse alongside its annual results to increase transparency and accountability.

  • Disciplinary proceedings are underway with professional bodies; ASIC will act once those bodies initiate proceedings, noting that audit firms aren’t required to report internal breaches to ASIC.

  • Critics argued the self-reporting regime is inadequate and urged tighter reporting and greater transparency to address unethical behavior by large consulting firms.

  • The episode underscores the need for stronger workplace policies and better detection tech to preserve integrity in training, services, and client deliverables.

  • Observers criticized the firm for prioritizing AI adoption over training design, reflecting broader tensions around AI in professional services.

  • The incident emerged during an Australian Senate inquiry into industry governance, with Greens senator Barbara Pocock calling oversight ‘toothless.’

  • Pocock raised the cheating as a misdemeanor during the inquiry, prompting questions to ASIC about enforcement.

  • The scandal was first reported by the Australian Financial Review and discussed at the Senate inquiry, prompting scrutiny of enforcement.

  • The case highlights tension between using AI for efficiency and maintaining integrity in training and examinations at major firms.

  • AI cheating concerns have spilled into sector actions, including ACCA requiring in-person exams and Deloitte Australia facing scrutiny over AI-related issues.

Summary based on 9 sources


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