AI and life sciences: why FAIR data is essential | Earlham Institute

"Professor Neil Hall, Director of the Earlham Institute, says the importance of FAIR - Findable, Accessible, Interoperable, and Reusable - data to AI cannot be overstated. He describes it as the difference between a photo stored on a phone and one stored in a box in the attic...."