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Incidente 1563: KPMG Report Allegedly Included Hallucinated Citations and Inaccurate Agentic AI Case Studies

Descripción: 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.
Editor Notes: Timeline notes: The incident ID is dated 10/28/2025, based on the most specific available publication date for KPMG's report. GPTZero published its investigation on 06/12/2026. The incident ID was created on 06/30/2026.

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Alleged: Large language model developers , Generative AI developers y AI research tool developers developed an AI system deployed by KPMG y Big Four consulting firms, which harmed UBS , Transport for London , Transit systems , Swiss Federal Railways , Researchers , Policy analysts , NHS Greater Manchester , Healthcare organizations , Financial institutions y Epistemic integrity.
Sistemas de IA presuntamente implicados: Large language models , Generative AI systems , AI research tools y AI citation-generation tools

Estadísticas de incidentes

ID
1563
Cantidad de informes
1
Fecha del Incidente
2025-10-28
Editores
Daniel Atherton

Informes del Incidente

Cronología de Informes

Incident OccurrenceChasing the Hallucinations: KPMG's AI-Powered Attempt at "Redefining Excellence"
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Chasing the Hallucinations: KPMG's AI-Powered Attempt at "Redefining Excellence"

Chasing the Hallucinations: KPMG's AI-Powered Attempt at "Redefining Excellence"

gptzero.me

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Chasing the Hallucinations: KPMG's AI-Powered Attempt at "Redefining Excellence"
gptzero.me · 2026

AIID editor's note: Please see the original source for the full report and all of its findings.

Over the past year, a team of GPTZero investigators has used our Hallucination Check tool to uncover hallucinated citations in government report…

Variantes

Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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