  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.
