Frameworks & Standards

Understanding AI Frameworks and the Risks of Artificial Intelligence A blog post drawing on current frameworks, research, and the MIT AI Risk Repository Introduction Artificial Intelligence is no longer a niche technology. It is embedded in healthcare diagnostics, hiring decisions, financial systems, law enforcement tools, and the everyday software most of us use without a second thought. With that reach comes serious responsibility — and serious risk. Governments, standards bodies, researchers, and international organizations have responded by developing a growing ecosystem of frameworks designed to identify, categorize, and manage those risks. ...

The EU Artificial Intelligence Act: The World’s First Comprehensive AI Law A deep dive into the landmark regulation reshaping how AI is built and deployed globally What Is It? The EU Artificial Intelligence Act (Regulation (EU) 2024/1689) is the world’s first comprehensive, legally binding regulation governing artificial intelligence. Enacted by the European Union, it establishes a common regulatory and legal framework for AI across all EU member states. ...

ISO/IEC 42001: The International Standard for AI Management Systems A deep dive into the world’s first certifiable AI governance standard What Is It? ISO/IEC 42001 is an international standard published by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC). It is the first international standard for managing AI systems responsibly — and unlike advisory frameworks, it is certifiable, meaning organizations can formally demonstrate compliance through accredited third-party audits. ...

The MIT AI Risk Repository: Mapping the Full Landscape of AI Risks A deep dive into the most comprehensive academic catalog of AI risks ever assembled What Is It? The MIT AI Risk Repository is a living research database developed by MIT FutureTech. It is not a governance framework, a regulation, or a standard — it is a research tool: a comprehensive, publicly accessible catalog of over 1,700 distinct AI risks, extracted from 74 existing frameworks, taxonomies, and academic classifications. ...

NIST AI Risk Management Framework (AI RMF 1.0): The U.S. Standard for Responsible AI A deep dive into the voluntary framework that became the de facto baseline for AI governance in the United States ...

OECD Principles on AI: The Global Ethical Foundation A deep dive into the intergovernmental principles that shaped nearly every major AI framework that followed What Is It? The OECD Principles on Artificial Intelligence are a set of non-binding recommendations adopted by the Organisation for Economic Co-operation and Development in May 2019. They were the first intergovernmental standard on AI to be adopted, and they established shared ethical norms intended to guide AI development and governance across member nations and beyond. ...

UNESCO Recommendation on the Ethics of AI: The Global Human Rights Standard A deep dive into the first global normative instrument on AI ethics, endorsed by every UNESCO member state ...