Ai-generated music derivative works

A non-transitory computer-readable medium having stored thereon program instructions that, when executed by at least one processor, cause the at least one processor to:

• receive predetermined content from a database server;
• receive a request to transform a segment of the predetermined content to create a derivative work;
• receive one or more user-specified parameters for the segment of the derivative work;
• convert the user-specified parameters for the segment to a text embedding in a latent space;
• generate the derivative work as a function of the segment of the predetermined content and the one or more user-specified parameters, using generative artificial intelligence, wherein generating the derivative work comprises transforming the segment of the predetermined content to create the derivative work comprising one or more of audio, video or images, based on the text embedding for the one or more user-specified parameters;
• determine if the derivative work is approved based on a content approval machine learning model comprising a neural network configured to determine a content approval score as a function of at least one content owner preference and the derivative work, and
• in response to determining the content approval score is greater than a threshold:
• apply a digital watermark to the approved derivative work;
• configure an authorization server to govern use of the approved derivative work based on the digital watermark;
• and
• provide access to the approved derivative work.