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1. A method comprising: receiving predetermined content, using a database server; receiving a request to transform the predetermined content into a derivative work, using a content derivation platform comprising at least one processor; receiving a requested theme for the derivative work, using the at least one processor; creating the derivative work generated as a function of the predetermined content and the requested theme, using generative artificial intelligence and the at least one processor, wherein the creating further comprises transforming the predetermined content into the derivative work comprising audio, video or images, based on an embedding for the requested theme, using the at least one processor; determining if the generated derivative work is approved based on a content approval machine learning model configured to determine a content approval score as a function of at least one content owner preference and the generated derivative work, using the at least one processor; wherein the content approval machine learning model further comprises a neural network configured to determine a score identifying a degree of like or dislike by the content owner for the derivative work, the score determined as a function of a text embedding identifying an item in the derivative work, using the at least one processor; and in response to determining the content approval score is greater than a predetermined minimum: applying a digital watermark to the approved derivative work, using the at least one processor; configuring an authorization server to govern use of the approved derivative work based on the digital watermark, using the at least one processor; and providing access to the approved derivative work.
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