paperarXivTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond
The society and emerging risk-based regulatory frameworks for AI underscore the need for rigorous risk assessment to ensure safe and reliable AI systems. In response to this imperative, this paper presents an overview of AI risk assessment (identification and analysis) and management methodologies. It begins by reviewing the worldwide regulatory landscape that drives the need for systematic AI risk assessment. Then we characterize the spectrum of AI-related risks identified in the literature, from technical failures to ethical and social impacts. Subsequently, it reviews key risk assessment me
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- PossiblePossibly related (embedding) · 62%Anthropic Thinks Its Own Success Is Key to Making AI Safe →
- PossiblePossibly related (embedding) · 62%UN report: AI brings enormous opportunities – and plenty of risks - The Christian Science Monitor →
- PossiblePossibly related (embedding) · 60%"Dangerous" AI models are coming no matter what →
- PossiblePossibly related (embedding) · 57%Securing the future of AI agents →
- PossiblePossibly related (embedding) · 57%Verisight →
- PossiblePossibly related (embedding) · 47%zoharbabin/due-diligence-agents →
- LinkedLinked via arxiv author · 85%Javier Irigoyen →
“Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond”
- LinkedLinked via arxiv author · 85%Roberto Daza →
“Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond”
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