Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Defining the collective intelligence supply chain

Barclay, Iain, Preece, Alun ORCID: and Taylor, Ian ORCID: 2018. Defining the collective intelligence supply chain. Presented at: AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, WA, USA, 18-21 October 2018.

[thumbnail of Defining the Collective Intelligence Supply Chain.pdf]
PDF - Accepted Post-Print Version
Download (190kB) | Preview


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.

Item Type: Conference or Workshop Item (Paper)
Status: Unpublished
Schools: Computer Science & Informatics
Crime and Security Research Institute (CSURI)
Related URLs:
Date of First Compliant Deposit: 18 October 2018
Last Modified: 14 Dec 2022 03:10

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics