AI incident ·
KPMG Report Allegedly Included Hallucinated Citations and Inaccurate Agentic AI Case Studies
In brief
An AI system built by Large Language Model Developers, Generative Ai Developers and 1 other and deployed by Kpmg and Big Four Consulting Firms allegedly harmed Ubs, Transport For London and 8 others.
- Risk domain
- Not classified
- Occurred
- Coverage
- 3 reports
What happened
In October 2025, KPMG published "Total Experience: Redefining Excellence in the Age of Agentic AI." GPTZero later reported that only five of 45 citations accurately matched their sources, while others contained flawed details. The pattern reportedly suggested an unverified LLM research tool, but the system and extent of AI involvement remain unconfirmed.
Laws that address this harm
No recorded instrument yet addresses this use case where it happened. See the open queue.
Matched from the record's risk domain and country to the instruments recorded here. A reviewer can correct the match in the repository (data/external/incident_overrides.yaml).
News reports (3)
Titles link to the original publisher; report text is not reproduced here.
Who was involved
- Alleged deployer
- Kpmg, Big Four Consulting Firms
- Alleged developer
- Large Language Model Developers, Generative Ai Developers, Ai Research Tool Developers
- Alleged harmed party
- Ubs, Transport For London, Transit Systems, Swiss Federal Railways, Researchers, Policy Analysts, Nhs Greater Manchester, Healthcare Organizations, Financial Institutions, Epistemic Integrity
Classification (MIT AI Risk Repository taxonomy)
- Risk domain
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- Risk subdomain
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- Causal entity
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- Intent
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- Timing
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- Harm level
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Source record: incident #1563 on the AI Incident Database · all 3 reports