LATIDIA · Investigación

Un modelo de accesibilidad de IA de múltiples niveles (MAIAM): límites proporcionales de acceso y capacidad para la seguridad integral de la IA en la frontera

arXiv:2610.20921v1 Tipo de anuncio: nuevo Resumen: La mayoría del debate sobre la liberación de sistemas de IA capaces trata la elección como binaria: mantener el modelo detrás de una API o publicar los pesos. Que enmarcar corre junto a dos separados de

La noticia

arXiv:2610.20921v1 Announce Type: new Abstract: Most debate about releasing capable AI systems treats the choice as binary: keep the model behind an API, or publish the weights. That framing runs together two separate decisions. One is how capable a system may become. The other is who may obtain a given capability, and on what terms. This paper is about the second decision. We propose a Multi-Tiered AI Accessibility Model (MAIAM) that sorts access by purpose, safety, and capability instead of by release artifact. Tier 1, AI for Learning, is broadly accessible and deliberately capability-bounded. Tier 2, AI for Exploration, serves research and development under registration, identity, and usage controls that