Global Report Reveals Gaps in Responsible AI Governance

Rachel Adams, Fola Adeleke, Ayantola Alayande, Selamawit Engida Abdella, Ana Florido, Nicol\'as Grossman, Leah Junck· July 17, 2026 View original

Summary

The Global Index on Responsible AI (GIRAI) 2026 report assesses how 135 countries translate responsible AI commitments into protections and capacity, finding widespread policy adoption but a lack of enforceable, rights-based safeguards. It highlights that many frameworks remain non-binding and government algorithms often lack public disclosure.

The Global Index on Responsible AI (GIRAI) 2026 report, grounded in human rights frameworks like the UNESCO Recommendation on the Ethics of AI, provides a comprehensive assessment of how 135 countries are implementing responsible AI governance. The report evaluates progress across five dimensions: Inclusion and Diversity, Ethics and Sustainability, Labour and Skills, Trust and Safety, and AI Use in Public Service. Data collected by a global network of researchers from November 2023 to September 2025 reveals that while 126 out of 135 countries have at least one government policy or initiative related to AI, this widespread adoption often fails to translate into meaningful, enforceable protections. A significant finding is that 78% of new frameworks in Global South countries are non-binding, compared to 42% in the Global North. Furthermore, government commitment to AI governance does not consistently extend to their own algorithmic deployments. Despite "Transparency and Explainability" being a strong performing indicator, only 18% of countries require public disclosure of government algorithms. The report also documented credible evidence of unacceptable-risk AI systems deployed by governments in 35 countries, underscoring the urgent need to move beyond mere framework adoption towards robust, rights-based protections, well-resourced oversight, and accessible redress mechanisms.

Why it matters

For professionals across all sectors, understanding the global landscape of responsible AI governance is crucial for navigating regulatory risks, ensuring ethical AI development, and advocating for policies that protect human rights and foster public trust.

How to implement this in your domain

  1. 1Review national AI policies: Stay informed about your country's AI governance frameworks and their enforceability.
  2. 2Advocate for binding regulations: Support initiatives that push for legally binding AI protections rather than non-binding guidelines.
  3. 3Demand algorithmic transparency: Push for public disclosure and explainability requirements for AI systems, especially those deployed by government or public services.
  4. 4Assess internal AI ethics: Benchmark your organization's AI ethics policies against global best practices and human rights frameworks.
  5. 5Engage with civil society: Collaborate with civil society organizations to promote responsible AI development and oversight.

Who benefits

GovernmentPublic PolicyLegalConsultingTechnology

Key takeaways

  • Most countries have AI policies, but many lack enforceable, rights-based protections.
  • Non-binding frameworks are prevalent, especially in the Global South.
  • Government AI deployments often lack transparency and public disclosure.
  • There's a critical need to move from policy adoption to robust oversight and redress mechanisms.

Original post by Rachel Adams, Fola Adeleke, Ayantola Alayande, Selamawit Engida Abdella, Ana Florido, Nicol\'as Grossman, Leah Junck

"arXiv:2607.14782v1 Announce Type: new Abstract: Grounded in human rights-based frameworks such as the UNESCO Recommendation on the Ethics of AI, the Global Index on Responsible AI (GIRAI) examines how countries translate responsible AI commitments into enforceable protections, in…"

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Originally posted by Rachel Adams, Fola Adeleke, Ayantola Alayande, Selamawit Engida Abdella, Ana Florido, Nicol\'as Grossman, Leah Junck on X · view source

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