A Blockchain Protocol for Human-in-the-Loop AI
This addresses the need for structured human inputs in AI training and blockchain governance, offering a novel technical solution.
The paper tackles the integration of human intelligence into AI and blockchain systems by defining Human Intelligence Primitives (HIPs) and implementing an Ethereum protocol for their on-chain collection and use in machine learning workflows.
Intelligent human inputs are required both in the training and operation of AI systems, and within the governance of blockchain systems and decentralized autonomous organizations (DAOs). This paper presents a formal definition of Human Intelligence Primitives (HIPs), and describes the design and implementation of an Ethereum protocol for their on-chain collection, modeling, and integration in machine learning workflows.