AI governance / educationschool dropout predictionParticipation documented
Equitable AI: Guanajuato Use Case
Guanajuato, Mexico
The project used collaborative workshops and co-developed governance tools for a dropout early-warning system, but public documentation shows less direct power-sharing with affected students and families than the strongest atlas cases.
gender justiceresponsible AIpublic-sector accountabilityauditinggovernancedeployment review
- Region
- Latin America
- Lead organization
- PIT Policy Lab; Itad; Women in Digital Transformation; Athena Infonomics
- Organization type
- policy lab + academic collaborators
- Technology group
- early-warning analytics and bias mitigation
- Activity status
- completed
- Start year
- 2023
- Last updated
- Mar 25, 2026
- Participation mode
- stakeholder workshops + bias mitigation + policy co-development
- Participants
- Education officials; project partners; local stakeholders
- Methods
- workshops; checklist co-development; policy recommendation drafting
- AI lifecycle stages
- auditing; governance; deployment review
- Evidence summary
- The project used collaborative workshops and co-developed governance tools for a dropout early-warning system, but public documentation shows less direct power-sharing with affected students and families than the strongest atlas cases.
- Atlas assessment
- Cautious · Medium confidence · evidence grade A
- Uncertainty
- The project used collaborative workshops and governance tools, but public evidence shows less direct power-sharing with affected students and families than the strongest atlas cases.
- Participation group
- Participatory Governance
- Technology description
- early-warning analytics and bias mitigation
- Funding
- Not documented
- Region of activity
- subnational
- Verification status
- Live Verified
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