Governance / auditingpublic sector algorithmic accountabilityParticipation documented
Algorithmic Equity Toolkit
Seattle, United States
Designed to serve both public sector staff and community advocates concerned about surveillance and automated decision systems.
data justicecivic engagementparticipatory governanceauditingadoption_use_decisionsgovernance
- Region
- North America
- Lead organization
- ACLU of Washington; University of Washington eScience Institute
- Organization type
- civil society + university
- Technology group
- auditing toolkit
- Activity status
- active
- Start year
- 2019
- Last updated
- Mar 25, 2026
- Participation mode
- co-design with advocates and officials
- Participants
- government staff; advocates; grassroots organizations
- Methods
- co-design; interviews; workshops; toolkit testing
- AI lifecycle stages
- auditing; adoption_use_decisions; governance
- Evidence summary
- Designed to serve both public sector staff and community advocates concerned about surveillance and automated decision systems.
- 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
- Co Design
- Technology description
- auditing toolkit
- Funding
- Not documented
- Region of activity
- subnational
- Verification status
- Live Verified
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