The speed of AI development often exceeds the response speed of laws and regulations. Ensuring that the training and reasoning processes of AI comply with rules is a common challenge faced by global regulatory agencies.
Lagrange's Proofs of Training offers a new solution. Through zero-knowledge proofs, AI can generate verifiable proofs during the training process, ensuring that the training process of the model is legal and compliant, with no data leakage.
This allows governments and regulators to confirm the reliability of the model without accessing raw data.
This mechanism is especially needed in medical and financial scenarios. Hospitals can share results without exposing patient information; bank alliances can verify the fairness of risk control AI; governments can conduct audits at low cost. This is not only a technological innovation but also an upgrade in the way of social governance.
The entire system is powered by $LA tokens, with staking and rewards ensuring the long-term activity of verification nodes. It combines compliance and economic incentives, making AI governance a sustainable process.
Lagrange is using cryptographic mathematics to provide a new underlying framework for social trust.
