"How Do You Prove That an AI Computed Correctly?" — An Introduction to Neural Networks over Finite Fields
Qiita / 3/16/2026
💬 OpinionIdeas & Deep AnalysisModels & Research
Key Points
- Neural networks over finite fields are presented as a framework to enable verifiable AI computations.
- The article outlines methods to prove that AI outputs were computed correctly using finite field arithmetic.
- It discusses implications for cryptography, zero-knowledge proofs, and building trustworthy AI systems.
- It highlights practical challenges and future research directions for making such proofs scalable and applicable to real-world models.
"How Do You Prove That an AI Computed Correctly?" — An Introduction to Neural Networks over Finite Fields
A Lab Coffee Break Guide to ZK...
Continue reading this article on the original site.
Read original →
