Verified incidents
Anonymised, triaged incidents from the public registry — sortable by sector, region and harm type.
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Arm 04 · Verified incident registry
AIBRAI Registry
A confidential reporting platform for individuals who have experienced unequal treatment, discrimination or other harms from AI systems. Reporters may seek advice and support. The structured database enables pattern detection, trend analysis and risk forecasting for researchers, regulators and the public.
Capabilities
What AIBRAI Registry delivers.
A focused, professional service portfolio — defensible to regulators, courts and peer review.
- 01Anonymous reporting of AI bias incidents — no account or email required by default
- 02Optional confidential follow-up: reporters can request advice, referral to legal support or advocacy organisations
- 03Structured taxonomy (sector, harm type, severity, affected group, system type, jurisdiction) for consistent analysis
- 04Expert triage and independent verification before incidents enter the public dataset
- 05Pattern detection and trend analysis to surface emerging risks before they reach mainstream attention
- 06Sector and regional intelligence reports for compliance, risk and legal teams
- 07Data licensing and live API for insurers, regulators, journalists and academic researchers
- 08Whistleblower protection guidance aligned with EU Directive 2019/1937 and equivalent frameworks
Who it's for
Built for the people closest to the decision.
Anonymous. Verified. With optional support for individuals.
- Individuals affected by AI decisions
- Whistleblowers and employees
- Lawyers, advocates and journalists
- Researchers and regulators
How it works
A reproducible four-step protocol.
- 01
Report
Confidential intake, anonymous by default. Optional request for assistance.
- 02
Triage
48-hour expert review; clarifying questions handled through encrypted channels.
- 03
Verify
Independent verification before entry into the public, anonymised dataset.
- 04
Support
Optional routing to legal aid, advocacy partners and academic researchers.
Workstreams
Organised by purpose.
Each workstream is a living space — outputs, reports and engagements will be published here as they are released.
Trend reports
Quarterly pattern-detection reports highlighting emerging AI-bias risks across sectors.
Support pathway
Confidential routing to legal, advocacy and academic support partners for affected reporters.
Engagement
How to work with us
Every engagement is scoped to the system, jurisdiction and stakeholders involved. Reach out for a short scoping call — pro-bono for civil society and affected individuals, capacity permitting.
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Ready to engage AIBRAI Registry?
Most engagements start with a 30-minute scoping call. Pro-bono support is available for civil-society organisations and for individuals affected by AI bias.