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Defining the Collective Intelligence Supply Chain

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arxiv 1809.09444 v1 pith:53GHRCXL submitted 2018-09-25 cs.AI cs.CY

Defining the Collective Intelligence Supply Chain

classification cs.AI cs.CY
keywords collectiveintelligenceusedaccountabilityassetschaindataknowledge
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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    cs.LG 2019-07 unverdicted novelty 4.0

    A method is presented for calculating a transparency metric for ML model pipelines by analyzing the visibility of contributions from data sources and human developers.