Descripción: A purported AI tool using LLMs was deployed to classify Veterans Affairs contracts as expendable based on limited text and simplified criteria. The system allegedly produced hallucinated values and flagged critical healthcare and research services for cancellation. Reportedly, at least two dozen flagged contracts were later terminated.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Department of Government Efficiency , DOGE , Sahil Lavingia , Custom LLM-based contract classifier ("Munchable" tool) y OpenAI large language models, perjudicó a Department of Veterans Affairs (VA) , Veterans , Veterans receiving care through the VA , VA clinical and research staff y VA contractors.
Sistemas de IA presuntamente implicados: Custom LLM-based contract classifier ("Munchable" tool) y OpenAI large language models
Estadísticas de incidentes
ID
1103
Cantidad de informes
2
Fecha del Incidente
2025-03-18
Editores
Daniel Atherton
Informes del Incidente
Cronología de Informes
As the Trump administration prepared to cancel contracts at the Department of Veteran Affairs this year, officials turned to a software engineer with no health care or government experience to guide them.
The engineer, working for the Depar…
The Department of Government Efficiency (DOGE) developed an artificial intelligence (AI) tool to identify unnecessary contracts at the Department of Veterans Affairs (VA), intending to cut costs. However, the AI system showed significant te…
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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