Intuition: Verifiable Intelligence, Unlocking the Internet of Trust
How much do we depend on the decisions made by artificial intelligence (AI)? From the algorithms that recommend our morning news to the models that assess our credit scores and the systems that analyze complex financial markets, AI is already deeply embedded in our lives. Yet, behind this powerful intelligence lies an unresolved challenge: the problem of trust. The decision-making process of most AI is hidden within a black box, forcing us to simply believe in the results. What if those decisions are biased or manipulated?
Here is a project that offers a solution to this fundamental problem of trust in the AI era: Intuition. Intuition goes beyond merely creating smarter AI; it introduces a new paradigm of “verifiable AI.” By leveraging cutting-edge technologies like Zero-Knowledge Machine Learning (ZKML) and Trusted Execution Environments (TEEs), it enables AI to prove on-chain that it has performed specific computations honestly. This is an innovation that transforms AI’s “black box” into a “transparent glass box,” making the following exciting futures possible.
Use Case 1: The Hyper-Personalized AI Doctor That Protects Privacy
Mr. A has risk factors for a rare genetic disorder. He wants to provide his genomic data and real-time health records to an AI to receive personalized disease prevention solutions, but he is afraid of his sensitive medical information being leaked. Entrusting all his health data to current centralized AI services is unimaginable.
An “AI Private Doctor” based on Intuition solves this problem. Mr. A’s data is processed only in a secure environment like a TEE while encrypted. Through Intuition’s verification system, the AI model generates a ‘zero-knowledge proof’ that mathematically proves it “calculated the disease risk level using only approved analytical models without leaking Mr. A’s data to any external party.” This proof is recorded on the blockchain, where anyone can verify it. Consequently, Mr. A can receive personalized healthcare based on the trust that the AI has analyzed his data honestly, without ever exposing his original data to anyone. This is a true digital healthcare revolution that returns data sovereignty to the individual.
Use Case 2: Unbiased Autonomous Governance, the ‘Verifiable AI Parliament’
A large Decentralized Autonomous Organization (DAO) is facing a critical investment decision. It is nearly impossible for every member to analyze the countless proposals and market data. In this process, there’s a risk that the opinions of a small group or misinformation could influence the entire decision-making process.
Intuition can evolve DAO governance to the next level with the concept of a ‘Verifiable AI Parliament.’ This AI model comprehensively analyzes a variety of pre-agreed data (market indicators, project whitepapers, on-chain activity, community sentiment, etc.) to generate a report evaluating the potential risks and value of each proposal. The key is that this AI proves through Intuition that it “did not use biased data and accurately followed the defined evaluation logic.” DAO members no longer need to blindly trust the AI’s analysis. They can directly verify the fairness of the AI’s analytical process through the on-chain proof and make wiser, more efficient collective decisions based on it. This is the first step toward a new form of democracy that complements human limitations and maximizes the power of collective intelligence.
Use Case 3: The ‘Authentic AI Artist’ That Proves the Creative Process
In an age overflowing with images and music created by generative AI, the line between ‘true creation’ and ‘imitation’ has become blurred. If the NFT art I purchased was actually generated by unlawfully pirating a specific artist’s style, what would its value be?
Intuition bestows a new value upon AI creations: ‘proof of origin and process.’ An ‘Authentic AI Artist’ model utilizes Intuition to prove its creative journey. For instance, it can cryptographically prove that “this painting was generated originally from scratch using a specific algorithm, having learned only from copyright-cleared datasets.” This proof, combined with an NFT, guarantees that the artwork is not a mere copy but a genuine piece with ‘verifiable originality.’ This will instill trust in the AI-generated art market and build the foundation for an ethical AI creative ecosystem. We are now on the verge of a new paradigm where we can own and trade not just the final product, but the creative process itself.
In conclusion, Intuition is more than just a technology project. It is the key to redefining the relationship between AI and humans and to establishing a new social foundation of ‘verifiable trust’ in the digital world. Through Intuition, we can open the door to a future where intelligence is transparent, fair, and accountable—the era of the ‘Internet of Trust.’