S0021RS7-T23-S0021-Z · Full risk code

Global Gap in Research Capability

全球研發能力鴻溝

Inception
Risk Description

When organizations and regions with abundant infrastructure and resources dominate general-purpose AI research, producing severe global imbalance in capability; due to unmitigated control gaps, under-resourced regions must depend on the technology of a few providers, forming technological dependency, while local needs and cultural context are poorly reflected in mainstream systems, triggering compliance exposure and operational reputational costs.

Framework Mappings

NIST AI RMFGOVERN 1.1
ISO/IEC 42005影響評估流程
ISO/IEC 23894§6.3
ISO/IEC 5338啟動
MIT AI Risk RepositoryDomain 6

Risk Treatment & Implementation Guidance

Attend to the long-term impact of the global capability gap on local needs, supporting open-source ecosystems and local capacity building; Advance digital-inclusion policy to improve AI support for local language and culture; Establish compensation and local-calibration for quality gaps when relying on external systems