# A Blockchain Protocol for Human-in-the-Loop AI

arXiv: https://arxiv.org/abs/2211.10859 · HTML: https://mlsanity.com/paper/2211.10859/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 23 references that are in the map.
- First posted on arXiv 20 Nov 2022.

## Builds on (most cited first, 5 of 5)

- [Data and its (dis)contents: A survey of dataset development and use in machine learning research](https://mlsanity.com/paper/2012.05345/) (2020)
- [A Survey of Human-in-the-loop for Machine Learning](https://mlsanity.com/paper/2108.00941/) (2021)
- [Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities](https://mlsanity.com/paper/1804.05892/) (2018)
- [The New South Wales iVote System: Security Failures and Verification Flaws in a Live Online Election](https://mlsanity.com/paper/1504.05646/) (2015)
- [Fear Not, Vote Truthfully: Secure Multiparty Computation of Score Based Rules](https://mlsanity.com/paper/1903.06472/) (2019)

## Abstract (arXiv)

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.