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Advancing accountability in AI: Governing and managing risks throughout the lifecycle for trustworthy AI

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  • OECD

Abstract

This report presents research and findings on accountability and risk in AI systems by providing an overview of how risk-management frameworks and the AI system lifecycle can be integrated to promote trustworthy AI. It also explores processes and technical attributes that can facilitate the implementation of values-based principles for trustworthy AI and identifies tools and mechanisms to define, assess, treat, and govern risks at each stage of the AI system lifecycle.This report leverages OECD frameworks – including the OECD AI Principles, the AI system lifecycle, and the OECD framework for classifying AI systems – and recognised risk-management and due-diligence frameworks like the ISO 31000 risk-management framework, the OECD Due Diligence Guidance for Responsible Business Conduct, and the US National Institute of Standards and Technology’s AI risk-management framework.

Suggested Citation

  • Oecd, 2023. "Advancing accountability in AI: Governing and managing risks throughout the lifecycle for trustworthy AI," OECD Digital Economy Papers 349, OECD Publishing.
    • Handle: RePEc:oec:stiaab:349-en
    DOI: 10.1787/2448f04b-en
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