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Latin America proposes DataHub and EvalsHub to address AI infrastructure gaps · 2 sources tracked

By PulseAugur Editorial · [2 sources] ·

Two related papers propose solutions for foundational AI infrastructure gaps in Latin America. The first paper addresses the dataset layer, suggesting a task-first infrastructure called DataHub to organize and discover scattered datasets. The second paper tackles the benchmark layer, introducing EvalsHub with LatamBoard as a regional instance to audit AI systems against local requirements and guide optimization for regional problems. Both initiatives aim to foster native AI development and independent evaluation within Latin America. AI

IMPACT These proposals aim to build essential AI infrastructure in Latin America, enabling better dataset discovery and AI system auditing tailored to regional needs.

RANK_REASON Two academic papers proposing solutions for AI infrastructure gaps.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Latin America proposes DataHub and EvalsHub to address AI infrastructure gaps · 2 sources tracked

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Francis F Daniel, Mauro Iba\~nez, Francis Perelman, Marian Basti ·

    On the missing data layer and a potential solution

    arXiv:2608.02949v1 Announce Type: new Abstract: Latin America is missing two foundational layers of AI infrastructure: the dataset layer and the benchmark layer. This paper targets the dataset layer. The dataset layer faces two compounding problems: discovery and supply. Latin Am…

  2. arXiv cs.AI TIER_1 English(EN) · Francis F Daniel, Mauro Iba\~nez, Francis Perelman, Marian Basti ·

    On the missing benchmarks layer and a potential solution

    arXiv:2608.02996v1 Announce Type: new Abstract: Latin America is missing a foundational layer for native AI development: the benchmark layer. The benchmark layer does two things no other layer can - it audits AI systems against regional social requirements and it directs AI optim…

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