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AI Risk Assessment and Management Paper Outlines Regulatory Needs

By PulseAugur Editorial · [1 sources] ·

This paper provides a comprehensive overview of risk assessment and management methodologies for intelligent systems, driven by the evolving global regulatory landscape, particularly the Artificial Intelligence Act. It categorizes various AI-related risks, from technical failures to ethical and social impacts, and reviews existing risk assessment frameworks. The paper aims to highlight best practices while also identifying critical gaps that require further research. AI

IMPACT Provides a framework for understanding and mitigating risks associated with AI systems, crucial for regulatory compliance and safe deployment.

RANK_REASON Academic paper discussing AI risk assessment and management methodologies. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI Risk Assessment and Management Paper Outlines Regulatory Needs

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Javier Irigoyen, Roberto Daza, Aythami Morales, Julian Fierrez, Ruben Tolosana, Ruben Vera-Rodriguez, Francisco Jurado, Alvaro Ortigosa ·

    Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond

    arXiv:2607.02197v1 Announce Type: cross Abstract: 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 a…

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