Chris Feng, COO of Chainbase, discussed the potential of blockchain to enhance transparency in AI systems in an interview. As AI becomes more complex and opaque, transparency, trust, and fairness issues arise.
Blockchain, known for decentralized record-keeping, can improve AI transparency, especially in data integrity and decision traceability. However, it doesn’t solve the core problem of explainability in AI models.
Blockchain can securely record training data and procedures, enhancing transparency in AI model construction and inference. For instance, Bittensor uses distributed nodes to improve training data security and resilience.
Despite its benefits, blockchain doesn’t effectively address biases in AI models. Companies like Bittensor and Ritual are integrating blockchain to enhance transparency in AI model validation and testing phases.
Looking ahead, integrating blockchain with AI could democratize and decentralize AI, enhancing its transparency and trustworthiness.
