How It Works

The process begins when a user enters the system and undergoes InterLink ID Generation in InterLink App. During this stage, the user scans their face, and the system employs AI deepfake checking, biometric hashing, and proof of personhood techniques to verify their identity. This ensures that each individual is assigned a singular, non-duplicable InterLink ID, guaranteeing both uniqueness and humaness. As a result, every verified user becomes a Unique Human, collectively forming the Human Network. This decentralized network is designed to eliminate duplicate data and prevent bot infiltration, ensuring that AI training data remains authentic and reliable.

On the AI development side, AI model organizations and developers initiate the training process by sending training requests. These requests are distributed within the Human Network, where verified users complete designated training tasks. This process, known as Unique Data Training, guarantees that the data used for AI model improvement originates exclusively from real humans, enhancing both accuracy and fairness in AI development.

The training itself is conducted directly on human devices, leveraging decentralized computation. Devices within the network can share computational resources, enabling an advanced training method called Federated Learning AI. This approach allows AI models to be refined locally on user devices without raw data being transmitted to central servers. Instead, only aggregated updates from the trained models are returned to the AI model organizations and developers. This decentralized and privacy-preserving framework not only strengthens data security but also ensures that AI models are trained on diverse, high-quality human-generated data, fostering ethical and transparent AI development.