Participatory auditing / trustworthy AIAI auditingParticipation documented
PHAWM
London, United Kingdom
Project will produce workbenches and methodologies that let diverse stakeholders audit AI systems and participate in certification pathways.
participatory auditingtrustworthy AIparticipatory governanceauditingevaluationgovernance
- Region
- Europe
- Lead organization
- Responsible AI UK consortium
- Organization type
- research consortium
- Technology group
- auditing workbenches
- Activity status
- active
- Start year
- 2024
- Last updated
- Mar 25, 2026
- Participation mode
- participatory auditing workbenches
- Participants
- domain experts; regulators; affected parties; public
- Methods
- prototype-driven audits; workbenches; training; participatory evaluation
- AI lifecycle stages
- auditing; evaluation; governance
- Evidence summary
- Project will produce workbenches and methodologies that let diverse stakeholders audit AI systems and participate in certification pathways.
- Atlas assessment
- Core · High confidence · evidence grade A
- Uncertainty
- Public evidence indicates that stakeholders directly shaped AI design, data, deployment, evaluation, or oversight; residual uncertainty concerns the exact degree of shared decision power rather than project existence.
- Participation group
- Participatory Audit
- Technology description
- auditing workbenches
- Funding
- Not documented
- Region of activity
- multi-country
- Verification status
- Live Verified
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