Model Evaluation
Benchmark protocols for multilingual model assessment and repeatable safety testing.
Global Research Coordination Office
Advancing Global AI Safety & Data Standardization
A multilateral research initiative focused on cross-institutional data sharing, large language model ethics, and computational alignment.
About Us
The Global AI Academic Center (G-AISC) supports institutional coordination for applied AI safety research, dataset governance, and academic review processes across participating laboratories.
Administrative Notice
Internal services are available to authorized researchers, faculty members, and affiliated program administrators.
Research & Datasets
Dataset Governance
Data lifecycle standards for provenance tracking, review, and academic exchange.
Alignment Systems
Collaborative research on computational alignment and institutional oversight.
News & Updates
2026.03 - New guidelines on multi-agent reinforcement learning datasets published.
2025.11 - G-AISC announces partnership with global HPC clusters for open-source AI training.