Governance / algorithmic transparencysocial media transparency and accountabilityParticipation documented
Co-Design Perspectives on Algorithm Transparency Reporting
Washington, DC, United States
CDT’s official materials explicitly describe co-design studies with users to develop and evaluate recommendation algorithm transparency reports.
human-centered designaccountabilitytransparencyUI_UX_designgovernanceauditing
- Region
- North America
- Lead organization
- Center for Democracy & Technology
- Organization type
- nonprofit / research institute
- Technology group
- recommendation algorithm transparency reports
- Activity status
- published_case
- Start year
- 2022
- Last updated
- Mar 25, 2026
- Participation mode
- user co-design of algorithm transparency reports
- Participants
- social media users; designers; researchers
- Methods
- co-design; interviews; design activities; prototype evaluation
- AI lifecycle stages
- UI_UX_design; governance; auditing
- Evidence summary
- CDT’s official materials explicitly describe co-design studies with users to develop and evaluate recommendation algorithm transparency reports.
- 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
- recommendation algorithm transparency reports
- Funding
- Not documented
- Region of activity
- national
- Verification status
- Live Verified
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