@Lagrange Official $LA – Validate AI results using ZK technology
In the context of artificial intelligence (AI) being increasingly applied, a major challenge is how to verify that the results produced by AI are indeed correct and reliable, especially when the verifier cannot or does not want to disclose the entire data and models behind it. This is the issue that the Lagrange project aims to address, by combining AI with Zero-Knowledge Proof (ZK) technology.
Zero-Knowledge Proof is a cryptographic technique that allows one party to prove that they know or have computed an accurate result without revealing any information about the input data or the computation process. In the case of AI, this means we can confirm that the model has produced a specific result validly, without having to disclose the model or training data.
Lagrange $LA builds a verification mechanism based on ZK, allowing:
Independently verify the correctness of AI outputs, without relying on the AI development party.
Protect sensitive data, which is especially important in fields such as healthcare, finance, and military.
Build trust in a decentralized AI environment, where multiple agents participate but do not share resources or confidential information.
With this mechanism, a user or organization can send a request to the AI, receive results along with ZK proof, and independently verify that proof on any verification system. This opens up the potential to build a transparent AI service market, where every result can be verified without blind trust.
Lagrange not only helps reinforce trust in AI but also promotes the trend of 'Verifiable AI' – a key factor for the safe and transparent future of this technology.
@Lagrange Official #lagrange #la
