EventEVENT2026-09-11
EVENT: INDL-9 examines the human data-work layer behind AI supply chains
INDL-9 highlights a neglected operational dependency: the human data work behind AI systems. For companies deploying supply-chain agents, the upstream data-labeling and content-processing supply chain may become a procurement, risk and accountability issue.
The Dataleo angle
The thesis is that AI supply-chain governance must include the labor chain that produces training and evaluation data. The affected decision is AI vendor sourcing and audit scope. The condition for trust is visibility into data-work practices. The failure mode is certifying model outputs while ignoring the labor and quality controls that shaped them.