  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.
