TY - CHAP
T1 - Harnessing AI for Project Risk Management: A Paradigm Shift
AU - Li, He
AU - Yazdi, Mohammad
AU - Nedjati, Arman
AU - Moradi, Rosita
AU - Adumene, Sidum
AU - Dao, Uyen
AU - Moradi, Amirhossein
AU - Haghighi, Aida
AU - Obeng, Francis Eemmanuel
AU - Huang, Cheng Geng
AU - Kang, Hooi Siang
AU - Pirbalouti, Reza Ghasemi
AU - Zarei, Esmaeil
AU - Dehghan, Majeed
AU - Darvishmotevali, Mahlagha
AU - Ghasemi, Peiman
AU - Fard, Payam Shayan
AU - Garg, Harish
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/3
Y1 - 2024/3
N2 - 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 management strategies and resource allocation. Ethical considerations arise with the expanding role of AI, emphasizing the importance of transparency and accountability in algorithmic decision-making. This chapter envisions a dynamic convergence of AI and project risk management, fostering a future where innovation harmonizes with human understanding, propelling projects towards excellence, resilience, and growth.
AB - 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 management strategies and resource allocation. Ethical considerations arise with the expanding role of AI, emphasizing the importance of transparency and accountability in algorithmic decision-making. This chapter envisions a dynamic convergence of AI and project risk management, fostering a future where innovation harmonizes with human understanding, propelling projects towards excellence, resilience, and growth.
KW - Accountability
KW - Algorithmic decision-making
KW - Artificial intelligence (AI)
KW - Cognitive capabilities
KW - Collaboration
KW - Data aggregation
KW - Decision-making
KW - Ethical considerations
KW - Growth
KW - Hidden patterns
KW - Innovation
KW - Machine learning
KW - Predictive analytics
KW - Proactive risk anticipation
KW - Project risk management
KW - Response strategies
KW - Simulation-based mitigation
KW - Transparency
UR - http://www.scopus.com/inward/record.url?scp=85188828188&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-51719-8_16
DO - 10.1007/978-3-031-51719-8_16
M3 - Chapter in an edited book (as author)
AN - SCOPUS:85188828188
T3 - Studies in Systems, Decision and Control
SP - 253
EP - 272
BT - Progressive Decision-Making Tools and Applications in Project and Operation Management
PB - Springer Science and Business Media Deutschland GmbH
ER -