Watermarking of AI-generated derivative works

A method comprising:

• receiving, at a generative artificial intelligence system, a request to generate a derivative audio work based on predetermined content, the request comprising a requested theme for the derivative audio work;
• creating the derivative audio work as a function of the predetermined content and the requested theme by the generative artificial intelligence system;
• after creating the derivative audio work, applying a digital watermark to the derivative audio work by distributing the digital watermark across multiple frequency bands of the derivative audio work and across a plurality of temporal segments of the derivative audio work, wherein distributing the digital watermark across multiple frequency bands of the derivative audio work comprises modifying frequency components of the multiple frequency bands, the multiple frequency bands being less perceptible to a human ear, and wherein the digital watermark comprises a unique identifier associated with the derivative audio work and a payload, wherein presence of the payload in the derivative audio work is determined by the generative artificial intelligence system and indicates that the derivative audio work was generated by the generative artificial intelligence system, and wherein the payload comprises metadata that facilitates tracking of the derivative audio work and management of access to the derivative audio work;
• storing rights information associated with the derivative audio work in a database, the rights information being referenced by the unique identifier;
• and
• tracking use of the derivative audio work based on the unique identifier.

An article of manufacture comprising:

• a non-transitory computer-readable memory storing instructions that, when executed by at least one processor, cause the at least one processor to implement a generative artificial intelligence system and perform operations comprising:
• receiving, by the generative artificial intelligence system, a request to generate a derivative audio work based on predetermined content, the request comprising a requested theme for the derivative audio work;
• creating the derivative audio work as a function of the predetermined content and the requested theme by the generative artificial intelligence system;
• and
• after creating the derivative audio work, embedding a watermark into the derivative audio work by distributing the watermark across multiple frequency bands of the derivative audio work and across a plurality of temporal segments of the derivative audio work, wherein distributing the watermark across multiple frequency bands of the derivative audio work comprises modifying frequency components of the multiple frequency bands, the multiple frequency bands being less perceptible to a human ear,
• wherein the watermark comprises a payload, wherein presence of the payload in the derivative audio work is determined by the generative artificial intelligence system and indicates that the derivative audio work was generated by the generative artificial intelligence system, and wherein the payload comprises metadata that facilitates tracking of the derivative audio work and management of access to the derivative audio work.