AI-mediated risks and real-life challenges in mushroom foraging
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.
Authors
- Fransina Christina King
- Nik Kuznetsov
- Yu Xia
- Sergei Kuznetsov
- Milos Ljubisavljevic
Institutions
- United Arab Emirates University (AE)
- Karolinska Institutet (SE)
- KTH Royal Institute of Technology (SE)
Publication Details
- Journal
- npj Science of Food
- Published
- 2026-02-24
- DOI
- https://doi.org/10.1038/s41538-026-00752-4
- Primary Topic
- Silymarin and Mushroom Poisoning
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Advanced Technology Research Council
- Chinese Academy of Sciences
- Kunming Institute of Botany, Chinese Academy of Sciences