The AI Regulation Challenge
As AI regulations expand, companies must prove that their models meet ethical, fairness, and safety standards. However, exposing full training datasets could reveal sensitive or proprietary information.
Lagrange’s AI Proofs
Using zero-knowledge proofs, Lagrange lets companies demonstrate that an AI model meets required benchmarks such as bias limits or accuracy targets without exposing the dataset or model parameters.
Advantages
For AI Companies: Protect intellectual property.
For Regulators: Reliable model compliance checks.
For Users: Greater trust in AI outcomes.
The Big Picture
This could pave the way for responsible AI adoption, balancing transparency, compliance, and data protection
