Defining the Collective Intelligence Supply Chain

TL;DR

This paper proposes a blockchain-based supply chain model to enhance accountability, fairness, and validation in the management of crowd-sourced data and knowledge assets used in AI systems.

Contribution

It introduces a novel supply chain framework for collective intelligence assets, emphasizing blockchain for transparency and accountability in AI data provenance.

Findings

Proposes a blockchain architecture for collective intelligence supply chain.

Highlights the importance of accountability in AI data assets.

Suggests decentralization to improve fairness and validation.

Abstract

Organisations are increasingly open to scrutiny, and need to be able to prove that they operate in a fair and ethical way. Accountability should extend to the production and use of the data and knowledge assets used in AI systems, as it would for any raw material or process used in production of physical goods. This paper considers collective intelligence, comprising data and knowledge generated by crowd-sourced workforces, which can be used as core components of AI systems. A proposal is made for the development of a supply chain model for tracking the creation and use of crowdsourced collective intelligence assets, with a blockchain based decentralised architecture identified as an appropriate means of providing validation, accountability and fairness.