Enhancing Risk Management in Event Planning (The Role of Artificial Intelligence in Predictive Analysis and Crisis Mitigation)

This research explores how Artificial Intelligence (AI) can enhance risk management in event planning, particularly in Saudi Arabia’s rapidly growing events sector under Vision 2030. Traditional risk management methods are often reactive and inadequate in addressing dynamic and large-scale event challenges. The study highlights how AI technologies—such as predictive analytics, machine learning, and real-time monitoring—can proactively identify risks, improve crisis response, and support decision-making. Using a quantitative survey of 102 professionals across government, private, nonprofit, and consulting sectors, the findings reveal limited current AI integration but strong support for its future use. Major barriers include privacy concerns and lack of technical expertise, while crowd monitoring and predictive tools are the most common AI applications. The study recommends that event organizers integrate AI into risk management strategies from the early planning stages, using tools such as crowd forecasting analytics and digital emergency models to take proactive measures. The government sector is recommended to develop a comprehensive regulatory framework for the use of AI in public events, including clear guidelines and performance standards to ensure the safe and effective use of this technology. It also recommends developing the digital skills of new event organizers, particularly in risk management and AI, by enrolling in specialized training programs to enhance their competency and future-readiness. As well as studying the ethical and legal aspects of using artificial intelligence in major events to establish responsible regulatory frameworks.