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

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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...

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