AI technology has permeated every aspect of our lives, from medical imaging diagnosis to financial risk control, and to automated governance on the blockchain. But the question is: how can we trust the results of these AIs?
In the medical field, a wrong diagnosis can affect life safety; in the financial field, a biased model can lead to unfair credit decisions; in the cross-chain field, incorrect data can trigger hundreds of millions in losses. The trust gap has become the biggest obstacle to the large-scale application of AI.
The DeepProve technology provided by Lagrange addresses this pain point with zero-knowledge proofs. When AI outputs results, it also generates a mathematical proof that verifies the computation process is compliant, fair, and true. This not only makes the AI's results transparent and trustworthy but also provides leverage for compliance and regulation.
In the latest engineering update, DeepProve-1 can now validate the inference of GPT-2 in a production environment, marking the fact that the implementation of zkML is no longer a distant future. With the incentive mechanism of the $LA token, Lagrange is pushing the concept of verifiable AI into reality.
