A Method and a System for Checking Ownership and Integrity of an AI Model Using Distributed Ledger Technology (DLT)

A system for determining ownership and integrity of an artificial intelligence (AI) model using distributed ledger technology (DLT), the system comprising:

• a plurality of processing nodes linked by a distributed ledger (DL) over a network and at least an AI model embedded with a digital watermark during training of the AI model using first watermark data and a predefined output of the first watermark data, the system configured to:
• generate a full checksum and at least one selective checksum for the AI model;
• register the AI model on the DL by uploading full checksum, the at least one selective checksum, the first watermark data, and at least the predefined output of the first watermark data,
• receive a unique model ID upon the registration;
• receive the AI model, the unique model ID of the AI model, and at least the first watermark data as an input;
• check for registration of the AI model by matching the received unique model ID with a stored model ID on the DLT;
• process the first watermark data to get a processed output and matching the processed output with the predefined output;
• verify the full checksum and the at least one selective checksum of the AI model;
• calculate an error for the AI model based on the selective checksum verification;
• and
• determine the integrity of the AI model based on the calculated error.