Accessibility / dataset stewardshipresponsible AI development and deploymentParticipation documented

Clearing the way for participatory data stewardship in artificial intelligence development: a mixed methods approach

Brisbane, Australia

The paper defines participatory data stewardship as giving people agency to shape and govern the behavioural data used in AI development, making the case directly relevant to participatory arrangements around AI data pipelines.

data stewardshipparticipatory governanceproblem formulationdata governance

Project documentation

Overview

Region: Oceania
Lead organization: Queensland University of Technology (QUT), Delft University of Technology
Organization type: research institute
Technology group: governance / protocol design
Activity status: completed
Start year: Not documented
Last updated: Mar 25, 2026

Participation documentation

Participation mode: participatory data stewardship and shared governance
Participants: data donors; users; researchers
Methods: surveys; simulations; participatory data stewardship research
AI lifecycle stages: problem formulation; data governance
Evidence summary: The paper defines participatory data stewardship as giving people agency to shape and govern the behavioural data used in AI development, making the case directly relevant to participatory arrangements around AI data pipelines.
Atlas assessment: Cautious · Medium confidence · evidence grade B
Uncertainty: The case is mainly documented through a paper or secondary project description; more implementation evidence would improve confidence.

Project details

Participation group: Co Governance
Technology description: governance / protocol design
Funding: Not documented
Region of activity: national
Verification status: Paper Verified

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Project documentationResearch paper

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