Predictive Risk Assessment and AI-Enhanced Decision Support in Modern Project Management

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Authors: Vania Rahmawati
Cited by: 1
References: 12

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