Ethereum Developers Propose Using ZK Technology to Anonymize AI Interactions

Ethereum developers and researchers are increasingly advocating for the integration of Zero-Knowledge (ZK) proofs to address privacy and security concerns in Artificial Intelligence. By utilizing Zero-Knowledge Machine Learning (ZKML), developers aim to create a system where users can verify that an AI model has processed their data correctly without ever revealing the actual data to the model provider. This approach allows for ‘verifiable’ AI, ensuring the integrity of the computation while maintaining complete user anonymity. As AI continues to rely on massive datasets, the Ethereum community suggests that ZK technology can mitigate the risks of data harvesting and unauthorized surveillance by centralized tech giants. By leveraging Ethereum’s existing ZK-infrastructure, such as layer-2 rollups, the industry can move toward a decentralized AI ecosystem that prioritizes data sovereignty and cryptographic privacy.

Source: Ethereum developers suggest using ZK tech to anonymize AI use

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