The report is accused of falsely describing AI use at UBS, NHS Greater Manchester, Swiss Federal Railways and TfL.
KPMG has removed a global report on AI after multiple case studies were found to be inaccurate and apparently generated from AI hallucinations.
The Financial Times (FT) reported that the October report, Redefining excellence in the age of agentic AI, made several false claims about the use of AI at UBS, NHS Greater Manchester, Swiss Federal Railways and Transport for London (TfL).
Research group GPTZero flagged several passages of the report as hallucinations, which was verified by FT.
GPTZero CEO Edward Tian said error-filled reports from the Big Four “poison the well of information”.
UBS was cited as a global wealth manager that “integrates AI agents across investment advisory, risk management and compliance monitoring” and that “these agents operate within a composable platform co-developed with Microsoft, enabling personalised, efficient and compliant financial journeys”.
However, a UBS spokesperson told the FT that these claims were “factually incorrect”.
The report also said Swiss Federal Railways uses AI agents that “help users plan, book, and optimise journeys based on preferences, real-time conditions and carbon impact, turning SBB into a holistic mobility orchestrator”. The company called this “not accurate”.
TfL was described as deploying AI agents “to predict and manage congestion, personalise commuter updates and co-ordinate multimodal transport”....
Researchers at Los Alamos National Laboratory have developed a new tool called the Prelim Attention Score, or PAS, to help detect when a vision-language model’s output is grounded in the image and...