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Homepage > News > Tech > nChain boosts trust in AI with on-chain ZK Proofs Blockchain research and development leader nChain says its technology could play a big part in ensuring artificial intelligence (AI) models are secure and trustworthy.  In September, the firm successfully demonstrated a way to cryptographically prove that an AI model is trained on a certain dataset and that nothing has been tampered with. They proved this is possible in on-chain transactions on the BSV mainnet by using Zero-Knowledge Proof (ZKP) techniques that can verify information exists without revealing it publicly. The ability to record and verify proprietary information is of major importance to AI developers, who must maintain confidentiality for competitive purposes but also need to reassure regulators and the public that their systems are developed in a responsible manner. nChain recorded the relevant transaction here and published the tools it used to accomplish this on its GitHub page. It’s another example of BSV‘s ability to tackle new industry segments and even create entire new industries by leveraging its key features of speed, unbounded scalability, and affordability. Data is secured by the proven proof-of-work (PoW) transaction verification algorithm rather than the less secure proof-of-stake (PoS) algorithm. The BSV network can perform tasks that other UTXO-based PoW blockchain networks simply cannot handle. Opportunities in Verifiable AI Verifiable AI is a relatively newer industry sector offering potential. At present, the field is primarily the domain of academics and researchers, with little in the way of commercial activity. When it comes to training data, weights and algorithms, the well-known AI firms are jealously guarding their secrets, presenting only a “black box” as the final product they expect end users to trust, as long as it works. So a problem arises that could impact the industry in several ways: companies are in a fiercely contested race to…

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Filed under: News - @ October 1, 2024 7:19 am