Description: The OECD’s Principles on Artificial Intelligence, adopted in May 2019, are the first intergovernmental standard for AI ethics and governance. While specific to AI, they encapsulate ORRI-aligned governance values at a global level. The OECD AI Principles promote innovative and trustworthy AI that respects human rights and democratic values. Among the five key principles are requirements for Transparency and Explainability, and Accountability – meaning AI actors should provide sufficient information about AI systems and be accountable for their outcomes. There is also a principle of Robustness, Security and Safety to ensure ongoing risk management. Additionally, the OECD outlined recommendations for governance such as establishing evaluation frameworks and involving stakeholders in AI policy. These principles have since been endorsed by dozens of countries and influenced regulations (e.g., the EU’s draft AI Act).
Key Resources: The OECD Recommendation on AI (which includes the principles) is the primary source, available on the OECD website and in OECD legal instrument documents. The OECD.AI policy observatory site provides an overview of the principles and how countries implement them. Key points include that AI systems should be transparent and AI developers/organizations must be accountable for proper functioning and compliance with the above values. The G20 also adopted these principles in 2019, lending them additional weight.
https://oecd.ai/en/ai-principles
How It Helps Researchers: For AI researchers and innovators, these principles offer a concise checklist of governance considerations that should be addressed in their work. In practical terms, a researcher can use them as justification to include certain practices: e.g., “Our project will ensure transparency by publishing model cards (aligning with OECD Transparency principle)” or “We have an independent audit to uphold accountability.” As policymakers worldwide reference the OECD AI Principles, researchers who proactively follow them will be ahead of the curve in meeting future regulatory standards. Even beyond AI, these principles exemplify how to integrate ORRI dimensions in cutting-edge fields – emphasizing that governance (through transparency, oversight, risk management) is essential to responsible innovation. This helps maintain public trust and social license to operate for researchers working on emerging technologies.
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