The development of artificial intelligence is advancing rapidly, but the transparency and credibility of its decision-making process have always been the focus of industry attention. How can we ensure that the reasoning results of AI are traceable and trustworthy? This issue is particularly important in key decisions such as AI-recommended investment portfolios. The DeepProve system developed by Lagrange Company provides an innovative solution for this.

DeepProve, as a global leader in zkML (Zero-Knowledge Machine Learning) systems, is capable of generating zero-knowledge proofs that can be verified on the blockchain for the reasoning processes of AI. This technology effectively provides a trustworthy electronic signature for AI decision-making, significantly enhancing the credibility of AI systems.

This groundbreaking technology shows great potential in three important areas:

1. Financial Risk Control: When banks use AI to assess loan applications, DeepProve can prove that the AI has indeed used compliant data and algorithms, protecting customer privacy while meeting regulatory requirements.

2. Medical Diagnosis: When AI analyzes medical records and proposes treatment plans, DeepProve can verify that the diagnostic results are based on the patient's real data while protecting patient privacy, providing a feasible solution for medical data sharing.

3. Blockchain Games: The attributes of AI-generated game items and battle results can be verified and recorded on the blockchain through DeepProve, preventing cheating and ensuring the fairness of game outcomes.

The core advantage of DeepProve lies in its exceptional processing speed, which is several times faster than similar systems, allowing for the inference of complex models without compromising user experience. The system uses LA tokens as an important component of the ecosystem, forming a virtuous cycle: using DeepProve requires payment in LA, while nodes generating proofs can earn LA.

With the deep integration of AI and blockchain technology, trustworthiness will become the core competitiveness of AI systems. The emergence of DeepProve technology not only enhances the transparency of AI decision-making but also points out the direction for the future development of AI: a truly trustworthy AI system must not only possess strong intelligence but also be able to clearly explain its decision-making process.