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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- Linked via arxiv authorJavier Irigoyen →
Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond
- Linked via arxiv authorRoberto Daza →
Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond
- Linked via arxiv authorAythami Morales →
Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond
- Linked via arxiv authorJulian Fierrez →
Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond
- Linked via arxiv authorRuben Tolosana →
Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond
- Linked via arxiv authorRuben Vera-Rodriguez →
Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond
- Linked via arxiv authorFrancisco Jurado →
Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond
- Linked via arxiv authorAlvaro Ortigosa →
Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond