Source: IFIMES

IFIMES presents a research report highlighting that AI development data predominantly sourced from the Global North is often inadequate and not fit for global application. The study emphasizes the need for diverse, localized, and high-quality data to avoid bias and enhance AI effectiveness worldwide.

It details the Organization for Security and Co-operation in Europe’s (OSCE) initiatives to promote human-centric AI and foster strong community-based ethical frameworks beyond its traditional networks. The report calls for greater inclusivity, transparency, and international cooperation to address data disparities. It advocates policy reforms and outreach strategies aimed at equitable AI governance that respects cultural and regional specificities.