Output-based attribution for musical content generated by an artificial intelligence (ai)

Abstract

In some aspects, a music-based output produced by a generative artificial intelligence is segmented into multiple segments including multiple time segments having different lengths of time and multiple frequency segments using different frequency bands. An encoder generates multiple output embeddings, where individual output embeddings are derived from individual segments of the multiple segments. A distance measurement between individual output embeddings of the multiple embeddings and individual training segment embeddings of multiple training segment embeddings is determined to create a set of distance measurements that are correlated to a plurality of content creators that created multiple content items that were used to train the generative artificial intelligence. One or more creator attributions are determined based on the correlating. A creator attribution vector that includes the one or more creator attributions is created and used to initiate providing compensation to one or more content creators of the plurality of content creators.