ARTFEED — Contemporary Art Intelligence

Proposal for LatamBoard: Open Benchmark Infrastructure to Address Missing AI Evaluation Layer in Latin America

ai-technology · 2026-08-06

A recent paper on arXiv (2608.02996) identifies a significant shortfall in the advancement of AI in Latin America: the lack of a benchmark layer. This component is vital for assessing AI systems based on local social needs and guiding enhancements for economically significant contexts. In its absence, public entities are unable to independently assess foreign AI technologies, and businesses struggle to refine AI solutions for regional challenges with top-tier performance. The authors contend that this deficiency leads to a dual setback in both auditability and optimization of AI as a crucial infrastructure. To remedy this, they suggest the creation of EvalsHub, starting with LatamBoard, an open benchmark framework for universities, public agencies, professional groups, and businesses to publish, execute, and compare evaluations across various models and workflows. The initiative promotes a 'built once, measured forever' philosophy, enabling ongoing assessments by institutions.

Key facts

  • The paper is titled 'On the missing benchmarks layer and a potential solution'.
  • It is available on arXiv with identifier 2608.02996.
  • The paper identifies a missing benchmark layer for AI development in Latin America.
  • The benchmark layer audits AI systems against regional social requirements.
  • It directs AI optimization in economically relevant environments.
  • Without it, public institutions cannot independently evaluate foreign AI systems.
  • Companies cannot optimize AI systems for local problems with SOTA performance.
  • The proposed solution is an EvalsHub with LatamBoard as its first regional instance.
  • LatamBoard is an open, task-first benchmark infrastructure.
  • It allows universities, public institutions, professional communities, and companies to publish, execute, compare, and maintain evaluations.
  • The initiative follows a 'built once, measured forever' principle.

Entities

Institutions

  • arXiv
  • LatamBoard
  • EvalsHub

Locations

  • Latin America

Sources