AI auditing / language modelsbias assessment in language modelsParticipation documented
E.D.I.A.
Buenos Aires, Argentina
Official materials state that E.D.I.A. is meant to let people without technical expertise but with lived experience explore and audit biases in language models, supported by community-built datasets.
participatory feminismbias mitigationdata justicedata collectionauditingevaluationdeployment
- Region
- Latin America
- Lead organization
- Fundación Vía Libre; A+ Alliance collaborators
- Organization type
- nonprofit / NGO
- Technology group
- auditing toolkit
- Activity status
- active
- Start year
- 2023
- Last updated
- Mar 25, 2026
- Participation mode
- lived-experience bias auditing + community-built datasets
- Participants
- citizens with lived experience; teachers; community data contributors; researchers
- Methods
- community dataset building; participatory auditing; workshops; prototype testing
- AI lifecycle stages
- data collection; auditing; evaluation; deployment
- Evidence summary
- Official materials state that E.D.I.A. is meant to let people without technical expertise but with lived experience explore and audit biases in language models, supported by community-built datasets.
- 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 toolkit
- Funding
- Not documented
- Region of activity
- national
- Verification status
- Live Verified
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