Opening ecological data to reduce bias and strengthen AI in ecology
Machine learning
Biodiversity monitoring
Excerpt
By integrating diverse data sources, AI can transform ecological research. However, when data, code, or model-development processes cannot be independently inspected, existing knowledge gaps and biases may be transferred into ecological inference. Appropriately open, reliable, and interoperable ecological data, together with transparent and auditable AI infrastructures, are therefore essential for robust, equitable, and epistemically sound ecological research.
Citation
M. Torresani, M. Montali, D. Da Re, L. Da Ros, C. R. Hakkenberg, D. Rocchini, et al. (2026). Opening ecological data to reduce bias and strengthen AI in ecology. BioScience, biag147. https://doi.org/10.1093/biosci/biag147