Beyond Operational AI: Preview of APATS 2025 on Data, Regulation & Human Factors
There are over 200 AI projects currently active in aviation training worldwide, yet most attention focuses on AI in operations rather than training. This gap leaves many unaware of the challenges and developments shaping AI’s role in training, potentially slowing effective adoption.
The upcoming APATS 2025 event will shed light on these hidden aspects. A recent panel discussion previewed key topics: the data challenges training organisations face, evolving regulatory frameworks, and human factors considerations critical to successful AI integration.
The Training Sector’s AI Activity: More Than Meets the Eye
Training-related AI projects are numerous but often overlooked. Cedric Paillard, COO of Airline Pilot Club, points out that around 200 to 250 AI projects in training exist globally. The APATS 2025 workshop on AI in training will clarify terminology and offer frameworks for practical implementation.
Attendees are encouraged to bring their own AI project ideas for collaborative problem-solving, making discussions directly relevant to their operations.
Regulatory Environment: Progress with Uncertainty
Regulation is evolving but not yet settled, especially regarding data handling, privacy, and managing risks like AI-generated misinformation or bias. European authorities (EASA) appear to be ahead of the US (FAA) in AI training frameworks, yet gradual harmonisation is expected.
Workshop participants will get early insights into EASA’s evolving approach, but overall, regulatory frameworks are still developing and will need ongoing updates as AI matures.
Data Challenges: The Foundation for AI Success
Many training organisations still rely on manual processes and spreadsheets, which makes AI implementation difficult. Dr. Kevin Verdiere from Hinfact highlights this as a major barrier, noting that effective AI use requires structured digital data from the start.
Hinfact has developed a training management system (TMS) to support this digital transition, enabling automation like reporting and adaptive training recommendations. Objective data—such as physiological measurements and simulator metrics—holds promise but widespread use remains a few years away due to industry caution and cultural shifts needed.
AI’s Role: Enhancing, Not Replacing Instructors
AI functions as a powerful analytical tool, similar to an MRI providing data that requires expert interpretation. It automates technical procedure measurements but does not replace human judgement on pilot competency.
This allows instructors to focus more on critical non-technical skills such as communication and leadership development, enhancing overall training quality.
Looking Ahead: Cross-Industry Collaboration is Key
Effective AI adoption in training will require ongoing dialogue across civil aviation, military, and other high-risk industries. Events like APATS and related discussions provide valuable forums to share experiences, explore practical solutions, and build connections.
With legacy systems, uncertain regulations, cultural resistance, and data challenges to address, upcoming sessions at APATS 2025 will be a crucial opportunity for operations professionals to engage and prepare for AI’s impact on training.
For those interested in strengthening AI skills relevant to operational roles, exploring specialized training courses can be valuable. Resources such as Complete AI Training’s job-specific AI courses offer practical guidance tailored to industry needs.
APATS 2025 takes place 26-27 August at Marina Bay Sands, Singapore. It includes sessions for pilots, cabin crew, maintenance technicians, and Approved Training Organisations, with a strong focus on AI’s growing role in aviation training.
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