Blockchain for ethical AI model Validation

The rapid deployment of AI has raised questions about the accuracy, transparency, and moral reliability of its results. In this article, a blockchain-based method for recording and authenticating AI model responses is proposed to guarantee accountability and factual correctness. The proposed method cross-checks AI-generated responses with trustworthy sources such as Wikipedia and permanently stores the validation results on a public blockchain. Smart contracts give users an unchangeable audit trail of AI activity by monitoring if the responses meet truth standards. The architecture incorporates smart contracts, decentralized storage, and blockchain transparency to boost trust in AI systems. Inspired by NFT-based provenance tracking, this work uses similar ideas to evaluate ethical performance rather than ownership. To test a real-time scenario, smart contracts were set up on the Ethereum test network. The results show that blockchain can serve as a reliable, cost-effective trust anchor for transparent, scalable, and ethically validated AI-generated data.