Provenance for repurposing of artist-specific assets using non-fungible tokens (nfts)

Abstract

The technology disclosed relates to a provenance system for tracing repurposing of targeted artificial intelligence (AI) systems. A training logic is configured to train an AI system on a training dataset that satisfies a target artist configuration by requiring that at least some training samples in the training dataset are sourced from a target artist, and to generate a trained version of the AI system (trained AI system). The target artist configuration characterizes a work of the target artist. The trained AI system is configured to construct an output that satisfies that target artist configuration. A deployment logic is configured to make available the trained AI system via a blockchain network. A provenance logic is configured to provide access to the trained AI system, and to validate that new outputs generated by repurposing the trained AI system satisfy the target artist configuration.