What to expect
AI is increasingly present in ATC environments, from decision-support tools to training simulation systems. This session examines what a genuinely human-centred approach to AI means for both training and live operations:
- Human-centred AI design principles for ATC — what distinguishes a human-centred AI system from one that merely has a human in the loop, and why the distinction matters for operational safety
- Training implications of AI in ATC — how AI tools are changing what controllers need to learn, how they are trained, and what simulator environments must replicate to remain relevant
- Operational integration — the practical experience of introducing AI tools into live ATC operations, including controller acceptance, workflow adaptation, and performance monitoring
- Safety and quality assurance — how ANSPs are building safety and quality frameworks around AI tools that behave differently from traditional deterministic systems
- The NAV CANADA perspective — Anthony Mackay brings direct operational and safety leadership experience to the question of how a major ANSP integrates AI while maintaining its safety obligations
Why it matters
AI in ATC is not primarily a technology question — it is a human performance question. How AI tools are designed, introduced, and governed determines whether they enhance or undermine controller effectiveness. This session examines the human-centred approach that makes AI a genuine operational asset.