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AI Governance, Insights

Why Did AI Governance Become a Global Policy Issue in the 2010s?

The 2010s transformed artificial intelligence from a specialised research field into a technology with growing economic, social and political significance. Advances in machine learning, deep learning, data and computing expanded AI deployment across industries while raising new questions about bias, privacy, surveillance, employment, safety and accountability. This article examines the developments that pushed AI governance from a specialised concern toward a major international policy agenda.

AI Governance, Insights

EU Model: Rights + Risk + Regulation

The European approach to AI governance is built around a distinctive combination of fundamental rights, risk-based regulation and legally enforceable obligations. Rather than treating AI primarily as an innovation policy issue, the EU places AI within a broader legal framework concerned with human dignity, equality, privacy, safety, accountability and democratic governance. This article examines the intellectual and institutional foundations of the European model, how risk becomes a regulatory mechanism, why rights protection is central to the framework, and what the EU experience reveals about the future of AI governance.

AI Governance, Insights

2021: UNESCO Recommendation and the Global Ethics Dimension of AI Governance

In 2021, UNESCO adopted the Recommendation on the Ethics of Artificial Intelligence, creating one of the most comprehensive global frameworks for understanding the societal, human-rights and developmental dimensions of AI. Building on earlier AI principles, the Recommendation expanded the governance conversation beyond technical reliability and economic innovation toward human dignity, democracy, cultural diversity, environmental sustainability and institutional capacity. This article examines why the UNESCO Recommendation matters and how it helped reshape the global AI governance agenda.

AI Governance, Insights

Before AI Governance: What Did We Learn from Data Protection, Cybersecurity and Internet Governance?

Modern AI governance did not emerge from nowhere. Long before governments began developing dedicated AI frameworks, societies had already built systems for governing privacy, data, cybersecurity, digital platforms, human rights and automated decision-making. Understanding this history is essential to understanding why AI governance developed the way it did—and why existing governance systems are increasingly being tested by modern AI.

AI Governance, Insights

What Is AI Governance—and Why Has It Become So Important?

Artificial intelligence is rapidly becoming part of economies, governments, workplaces, education and everyday life. As AI systems become more capable and widely deployed, the central question is no longer only what AI can do, but how societies should govern its development and use. This article introduces AI governance, explains why it has become increasingly important, and examines how the global governance conversation is evolving from ethics and principles toward regulation, implementation, accountability and international cooperation.

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