How to use artificial intelligence to tag and keyword photos for better organization

Computational photography technologies aim to automate tasks that are time-consuming or uninspiring: Adjusting the lighting in a scene, replacing a flat sky, culling hundreds of similar photos. But for a lot of photographers, assigning keywords and writing text descriptions makes those actions seem thrilling. When we look at a photo, the image is supposed to speak for itself. We work with libraries of thousands of digital images, so there's no guarantee that a particular photo will rise to the surface when we're scanning through screenfuls of thumbnails. I can't overemphasize the advantages of applying keywords to images.