Policy Tracker

Tracking how governments, regulators, standards bodies, and international organizations are shaping the rules, institutions, and implementation conditions for responsible AI adoption.

Country, regional, regulatory, standards, and international organization developments in AI governance.

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7 assets

SearchContent typeYearAudienceGeographyThemeMaturity

IntelligenceAdvisory NoteUnited States

What OpenAI, GitLab, Gartner and the EU AI Act Reveal About the Next Enterprise AI Bottleneck

Recent signals from OpenAI, GitLab, Gartner, and the European Commission suggest that enterprise AI adoption is entering a new phase. The challenge is no longer simply whether organizations can access powerful AI tools, but whether they can redesign workflows, govern agents, prepare semantic infrastructure, and operationalize transparency requirements.

May 13, 2026

Policy TrackerCountry Governance ProfileChina

AI Governance Is Becoming an Operating-Speed Problem: China and the United States in Action

AI governance is entering a more operational phase.<div><br></div><div>For the past several years, much of the public debate has focused on principles: safety, fairness, transparency, privacy, account…

May 3, 2026

Policy TrackerReleaseChina

AI in Education Across Five Countries: Implementation Signals, Policy Gaps, and What Comes Next

What readers will get A comparative view of how AI in education is unfolding across the United States, Kenya, China, the United Arab Emirates and Switzerland. A practical map of the main implementation bottlenecks: teacher readiness, policy clarity, trust, infrastructure and assessment reform. Concrete signals for AI practitioners, education leaders and policy actors seeking grounded lessons rather than hype.

2026-03-29

Policy TrackerPublicationGlobal

From Classroom Readiness to Workforce Readiness

A flagship policy brief arguing that AI education, assessment, governance, and workforce transformation should not be treated as separate debates, but as one institutional transition sequence connecting classrooms, learning systems, and the future of work.

4/24/2026

Policy TrackerPublicationChina

China’s AI Education Transition: From Assessment Pressure to Institutional Change

China’s AI education transition illustrates a broader global shift: the central challenge is no longer whether schools can access AI tools, but whether education systems can redesign institutions fast enough to use them well. This brief examines how assessment pressure, teacher readiness, governance capacity, and uneven implementation shape China’s AI education pathway. By connecting China’s case with comparative insights from five countries, it argues that meaningful AI adoption requires moving beyond pilots and technology enthusiasm toward institutional change, evidence systems, and human-centered implementation.

4/24/2026

Policy TrackerCountry Governance ProfileChina

China’s AI Education Transition: Rapid Adoption, Institutional Friction, and the Future of Assessment

This article draws on a conversation with Yiwen Zhang, curator of the Global Shapers Community Beijing Hub and a PhD researcher at the London School of Economics and Political Science (LSE), alongside the Observatory’s broader focus on regional AI education developments in China.

April 9, 2026

Policy TrackerCountry Governance ProfileGlobal

AI in Education Policy: What Five Countries Reveal About Readiness, Inclusion and Implementation

Artificial intelligence is entering classrooms faster than many education systems can decide whether they are ready for it — or how it should be used. That makes AI in education not only a technology …

March 28, 2026