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cloud.google.com·6h ago
AI Research
arXiv CS.AI·Aug 20·5 min read
Global Index on Responsible AI 2026 : Conceptual Framework and Methodology
TL;DR
The Global Index on Responsible AI (GIRAI) 2026 introduces a refined methodology for assessing responsible AI governance across five dimensions, enhancing the framework's clarity and robustness. This edition aims to help policymakers and AI developers identify gaps in enforceable protections.
✦ Why It Matters
Evaluate your country's AI governance framework against GIRAI to identify areas for improvement.
Key Takeaways
- Review the five dimensions of responsible AI governance.
- Utilize GIRAI's indicators to assess your AI policies.
- Engage with civil society organizations for better AI practices.
- Identify and address gaps in your country's AI framework.
Full Summary
GIRAI 2026 builds on its predecessor by distinguishing between the existence and implementation of responsible AI frameworks, expanding from three to five thematic areas: Inclusion and Diversity, Ethics and Sustainability, Labour and Skills, Trust and Safety, and Use of AI in Public Service. It employs 38 indicators organized into three pillars: AI Policy, CSO Engagement, and Enabling Conditions, with a focus on primary and secondary data collection.
A statistical pre-audit ensured the framework's coherence, while a penalty for countries using Unacceptable Risk AI (URAI) impacts final scores. Data was gathered from 135 country-level researchers through a global survey, normalizing results on a scale of 100.
The weighted aggregation of scores (60% for AI Policy, 10% for CSO Engagement, and 30% for Enabling Conditions) allows for systematic cross-national comparisons, aiding stakeholders in identifying where commitments translate into enforceable protections.