Predictive Risk Assessment and AI-Enhanced Decision Support in Modern Project Management
Abstract
This chapter per the authors examines the transformative role of Artificial Intelligence (AI) in strengthening predictive risk assessment and decision-support systems within modern project management. It explores how machine learning, natural language processing, digital twins, and probabilistic simulation models enhance the ability to anticipate, quantify, and mitigate project risks under dynamic and uncertain conditions. The chapter reviews the evolution of project management toward AI-driven governance, analyzes real-world applications across construction, public infrastructure, and digital product development sectors, and evaluates the ethical, organizational, and technical challenges associated with AI deployment. Furthermore, the chapter highlights future research directions and emerging trends shaping AI-enabled project governance, emphasizing the importance of transparency, fairness, data security, and human oversight to ensure sustainable and responsible implementation.
Fields of Study & Subjects
Construction Project Management and Performance
BIM and Construction Integration
Organizational and Employee Performance
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Publisher
- IGI Global Scientific Publishing
- Pages
- 205–252
- Publication date
- 6 May 2026
- Document type
- Book chapter