AI‐Enhanced Risk Assessment and Mitigation for Mass Movements

This chapter navigates the complex landscape of mass movements, shedding light on several types, causes, and geological factors that contribute to these natural phenomena. It highlights the need for innovation in addressing mass movement risks and the pivotal role of AI in reshaping conventional approaches. Through a systematic exploration of AI fundamentals, including machine learning, data analysis, and predictive modeling, this chapter lays a robust foundation for understanding how AI can enhance the risk assessment. It unveils AI's potential in real-time monitoring, offering early warnings that can save lives and minimize damage during mass movement events. Ethical considerations are critical, raising questions about data privacy, bias, and transparency. This chapter emphasizes the importance of responsible AI deployment and the establishment of ethical frameworks to guide the integration of AI into mass movement management. In looking to the future, the chapter expects emerging trends and innovations, such as advanced sensors, predictive modeling advancements, and international collaboration, as catalysts for further enhancing the field of mass movement management. Real-world case studies from India and abroad illustrate the tangible impact of AI, highlighting successful implementations in diverse contexts. These cases prove that AI can transform risk assessment and mitigation, leading to safer and more resilient communities. In conclusion, the chapter underscores the transformative potential of AI in addressing the challenges posed by mass movements. It emphasizes that responsible AI practices and a commitment to ethical considerations are paramount in building communities prepared to confront the complexities of mass movement events.