Sureel Inc. (20240419949). INPUT-BASED ATTRIBUTION FOR CONTENT GENERATED BY AN ARTIFICIAL INTELLIGENCE (AI)
INPUT-BASED ATTRIBUTION FOR CONTENT GENERATED BY AN ARTIFICIAL INTELLIGENCE (AI)
Organization Name
Inventor(s)
Tamay Aykut of Pacifica CA (US)
Christopher Benjamin Kuhn of Munich (DE)
INPUT-BASED ATTRIBUTION FOR CONTENT GENERATED BY AN ARTIFICIAL INTELLIGENCE (AI)
This abstract first appeared for US patent application 20240419949 titled 'INPUT-BASED ATTRIBUTION FOR CONTENT GENERATED BY AN ARTIFICIAL INTELLIGENCE (AI)
Original Abstract Submitted
in some aspects, a server determines an input provided to a generative artificial intelligence, parses the input to determine: a type of content to generate, a content description, and creator identifiers. the server embeds the input into a shared language-image space to create an input embedding. the server determines a creator description comprising a creator-based embedding associated with individual creators. the server performs a comparison of the input embedding to the creator-based embedding associated with individual creators to determine a distance measurement of an embedding of individual creators in the input embedding. the server determines creator attributions based on the distance measurement and creates a creator attribution vector to provide compensation to the creators.
