Output-based attribution for content, including 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. An encoder is used to generate multiple output embedding. Individual output embeddings of the multiple 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. The plurality of distance measurements is correlated to a plurality of content creators that created multiple content items used to train the generative artificial intelligence. One or more creator attributions are determined based at least in part on the correlating. A creator attribution vector that includes the one or more creator attributions is determined and compensation is provided to one or more content creators of the plurality of content creators based on the creator attribution vector.