Linking training data to the output of an ML model is an extremely important area of research. It potentially takes away much of the "black box" aspect by under

Linking training data to the output of an ML model is an extremely important area of research. It potentially takes away much of the "black box" aspect by understanding what a model is basing it's decision on. For example, sample attribution can be used to inform data collection, to see if a model is operating correctly, or to decide whether the output should be trusted - there's currently lots of talk about chatGPT making stuff up and not sourcing it's output. This would be the answer. The page in this thread doesn't do attribution, as I said in my other comment. But if it was possible, it would be very important to the field