Machine learning algorithms abound in , but sometimes without the proper attribution or oversight. In an effort to raise the academic bar, Google says it’ll release an AI workflow for institutions, developed in collaboration with Global Biodiversity Information Facility (GBIF), iNaturalist, and Visipedia. Researchers at the tech giant say the workflow will support data aggregation and collaboration across teams while ensuring corpora follow standardized licensing terms, use compatible file formats, and provide fair and sufficient data coverage for the task at hand.

“The promise of machine learning for species identification is coming to fruition, revealing its transformative potential in biodiversity research,” wrote visiting faculty Serge Belongie and Google Research engineering director Hartwig Adam in a published to coincide with the Biodiversity Next conference in Leiden,

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