A Blockchain Protocol for Human-in-the-Loop AI
Nassim Dehouche, Richard Blythman
TL;DR
This paper introduces a blockchain protocol that captures and utilizes human intelligence inputs directly on-chain to enhance AI training, operation, and governance within decentralized systems.
Contribution
It provides a formal definition of Human Intelligence Primitives (HIPs) and implements an Ethereum protocol for their on-chain collection and integration into machine learning workflows.
Findings
Formal definition of HIPs for on-chain human inputs
Design and implementation of an Ethereum protocol for HIPs
Enables integration of human intelligence in AI and blockchain governance
Abstract
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.
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Taxonomy
TopicsBlockchain Technology Applications and Security · Ethics and Social Impacts of AI · Explainable Artificial Intelligence (XAI)