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|a Advancing accountability in AI
|h Elektronische Ressource
|b Governing and managing risks throughout the lifecycle for trustworthy AI
|c Organisation for Economic Co-operation and Development
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| 260 |
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|a Paris
|b OECD Publishing
|c 2023
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| 300 |
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|a 69 p.
|c 21 x 28cm
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| 653 |
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|a Industry and Services
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| 653 |
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|a Science and Technology
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| 710 |
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|a Organisation for Economic Co-operation and Development
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b OECD
|a OECD Books and Papers
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| 490 |
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|a OECD Digital Economy Papers
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| 024 |
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|a /10.1787/2448f04b-en
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| 856 |
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|a oecd-ilibrary.org
|u https://doi.org/10.1787/2448f04b-en
|x Verlag
|3 Volltext
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|a 600
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|a 330
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|a 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
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