Pre-approved theme library

Abstract

Aspects are directed to methods and systems for managing derivative work creation through pre-approved themes. In some aspects, a content derivation platform receives a request to create a derivative work based on predetermined content. The platform may analyze the request against one or more stored approved themes using semantic analysis. The semantic analysis may comprise converting the request into a text embedding and finding alignment between the text embedding and content embeddings associated with the stored approved themes. The platform may identify a matched approved theme based on the analysis and obtains transformation parameters associated with the matched approved theme. The platform may generate the derivative work using generative artificial intelligence based on the predetermined content and the transformation parameters. Post-generation verification may confirm the generated derivative work aligns with the matched approved theme by computing semantic similarity between a content embedding and theme embeddings.

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