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This introductory workshop provides participants with a practical understanding of how Artificial Intelligence (AI) is transforming decision-making across civil aviation operations. It explores the core concepts of AI, machine learning, and data-driven decision support, while examining their role in enhancing operational efficiency, safety, resilience, and sustainability. Participants will gain insights into the opportunities, limitations, and governance considerations associated with AI adoption within airports, airlines, air navigation service providers (ANSPs), and aviation regulators.

Key Benefits
  • Understand the fundamental concepts of AI and their relevance to civil aviation.
  • Learn how AI supports operational decision-making across airports, airlines, ANSPs, and regulatory authorities.
  • Identify opportunities to improve safety, operational efficiency, and service quality through AI-enabled solutions.
  • Recognize the importance of data quality, governance, ethics, and human oversight in AI implementation.
  • Build a foundation for evaluating AI applications and preparing organizations for digital transformation.

 Building on the foundational concepts introduced in Part A, this hands-on workshop explores practical AI tools and real-world applications that support operational decision-making in civil aviation. Through demonstrations, case studies, and interactive exercises, participants will examine how AI can be applied to flight operations, airport management, air traffic management, predictive maintenance, passenger flow optimization, and disruption management. The workshop also introduces participants to widely accessible AI tools that can enhance operational planning, analysis, reporting, and decision support.

Key Benefits
  • Explore practical AI tools applicable to everyday aviation operational and management tasks.
  • Gain experience with AI-supported approaches to operational planning, risk assessment, and decision support.
  • Understand real-world use cases of AI in airport operations, airline operations, air traffic management, and maintenance.
  • Learn how AI can improve operational resilience, resource optimization, and disruption management.
  • Develop practical skills to identify, assess, and implement AI solutions within civil aviation organizations while maintaining safety, regulatory compliance, and human oversight.