AI in Biodiversity Collections

The aim of this course is to empower participants with the knowledge and skills to (1) explain what AI is, how it works, and how it might be relevant to a biodiversity collection, (2) identify current AI-powered tools and approaches available to biodiversity collections, and explain how each connects to the AI subfields and methods that power it, (3) investigate the capabilities of current AI models by interacting with models directly, and explain how these capabilities serve as building blocks for relevant tools and approaches, (4) evaluate AI-powered tools and approaches for fitness in biodiversity collections by applying such criteria as accuracy, cost, scalability, privacy, and integration complexity to a real or realistic scenario, (5) articulate an informed position on responsible use of AI in biodiversity collections, and (6) develop a strategy to navigate AI developments that impact biodiversity collections.