Language:
English
Pages:
1 Online-Ressource (69 p.)
,
21 x 28cm.
Series Statement:
OECD Digital Economy Papers no.349
Keywords:
Künstliche Intelligenz
;
Produktlebenszyklus
;
Lebenszyklus
;
Risiko
;
Science and Technology
;
Industry and Services
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.
