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Riesgos mediados por IA y desafíos de la vida real en la recolección de setas

Nik V Kuznetsov^1,2, Yu Xia³, Sergei Kuznetsov³

¹ASPIRE Precision Medicine Research Institute Abu Dhabi, United Arab Emirates University, Al Ain, United Arab Emirates. nikkuznetsov@inbox.com.

NPJ science of food

|February 24, 2026

Abstract:

The rise of AI-based mushroom identification applications impacts foraging despite significant risks from relying solely on AI-generated advice. Popular AI-based mushroom identification tools were tested using 100+ photos of nearly 60 species, taken in real-world conditions. Even the best-performing tool failed in almost 15% of cases, with others performing worse. None of tested applications consistently provided a single, correct answer, demonstrating they cannot be trusted for definitive life-or-death identification decisions.

Palabras clave:

recolección de setas identificación de setas inteligencia artificial aplicaciones móviles seguridad alimentaria micología riesgos tecnológicos

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