Attention Maps are a method that allows computers to show which parts of data they pay special attention to.
Imagine you are reading a text or looking at an image – your brain does not focus on everything at once, but on important spots.
Computers use Attention Maps to similarly identify which areas are relevant for a task, for example in translating texts or recognizing objects in images.
This way, we can better understand how artificial intelligence makes decisions because we see what it "observes".