We produce open research on technical AI safety, governance, and policy questions specific to Mexico, in collaboration with national and international institutions.
Lines of work
Four fronts where we focus our questions, methods, and publications.
Alignment, mechanistic interpretability, and red-teaming applied to the study of deployed models.
Technical analysis and policy instruments for the responsible development and deployment of AI.
Mexico-based studies on perceptions, risks, and priorities of the Global South.
Materials, curricula, and open publications that connect research with training in Mexico.
Publications
Results that the team and its collaborators release in open venues.
A study designed to capture local concerns about AI safety in Mérida, Yucatán. The pilot survey explores local perceptions, risks, and priorities as input for the AI safety agenda in Mexico.
Ongoing
Active team projects and international collaborations.
A platform and paper that map the international AI safety community through taxonomy and semantic search. Output of the SPAR program with an international team.
See the projectCollaborations
Partner organizations that sustain and enrich our research agenda.
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