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Project risk management is pivotal in ensuring the success of endeavours within contemporary organizations. As businesses navigate an intricate and competitive landscape, integrating artificial intelligence (AI) introduces a paradigm shift in how project risks are recognized, evaluated, and addressed. This chapter go through into the multifaceted impact of AI on project risk management, reshaping strategies and enhancing decision-making processes to elevate project outcomes. By leveraging predictive analytics and machine learning, AI uncovers hidden patterns in historical project data, enabling proactive risk anticipation and simulation-based mitigation strategies. AI's cognitive capabilities expedite risk assessment by aggregating diverse data sources, fostering agility in response strategies through real-time communication and collaboration among project teams. Beyond operational facets, AI-driven algorithms continuously adapt to evolving risk landscapes, refining risk managemen

Algorithmic decision makingArtificial intelligence aiCognitive capabilitiesData aggregationDecision makingEthical considerationsHidden patternsMachine learningPredictive analyticsRoactive risk anticipationProject risk managementResponse strategiesImulation based mitigation