Artificial Intelligence in Aviation Education…

…a Double-Edged Sword

Artificial Intelligence (AI) is rapidly transforming the way we live, work—and learn. In aviation, it promises powerful tools for pilots, instructors, and operational planners alike. From streamlining flight planning and simulating weather patterns to providing tailored learning platforms, AI offers incredible potential.

But like any new technology, it comes with significant caveats—particularly in education and assessment.

The Rise of AI in the Cockpit and Classroom

Flight training is no stranger to innovation. Modern pilots are expected to work hand-in-hand with increasingly sophisticated onboard systems, many of which rely on AI-driven data processing. On the ground, AI tools can generate checklists, parse weather charts, and simulate emergency procedures with impressive realism. Aviation students now have access to AI-powered tutors, dynamic question banks, and voice-assisted flight manuals.

This technological leap is meant to support learning, not replace it.

Yet a troubling trend is emerging: students leaning too heavily on AI to shortcut the learning process. Assignments, knowledge checks, and even exam prep are now frequently completed with AI’s help. With tools like ChatGPT, students can generate full answers to complex technical questions—often in seconds. The results appear thorough, grammatically sound, and even reference regulations or aircraft systems convincingly.

But here’s the catch: they’re not always right.

When AI Gets It Wrong

AI tools excel at pattern recognition and language generation. However, they lack true understanding—and, critically, accountability. While an AI model might confidently explain the principles behind an accelerated stall, it might conflate load factor with angle of attack, or misrepresent the effect of flap deployment at various speeds.

In high-stakes professions like aviation, that’s not just a technical error—it’s a potential safety hazard.

There have been documented cases where AI-generated aviation content provided misleading or incorrect answers to key questions. For example, in 2024, several pilot forums flagged AI-generated explanations about VOR navigation and RNAV procedures that appeared credible but contained dangerously inaccurate assumptions. Students who rely solely on AI outputs may absorb these errors without realising, especially if they’re under time pressure or lack the experience to spot subtle flaws.

This video shows a brilliant example of how AI can get something relatively simple wrong, and how the competent pilot can easily identify its error.

The Core Question: Who Gets the Right Answer?

Ultimately, aviation demands critical thinking, situational awareness, and a deep understanding of complex systems. AI can help reinforce these qualities—but it cannot replace them. That’s why experienced instructors, examiners, and operational mentors remain irreplaceable.

As AI becomes embedded in flight operations and training, the key challenge is not “Can AI answer this?” but rather: “Can the student understand why the answer is right—or wrong?”

Navigating the Future Responsibly

At Consult DCT, we embrace the benefits of AI when used as a tool—not a crutch. We encourage students and professionals to approach AI critically: test its outputs, cross-reference with trusted sources, and always apply human judgment.

The future of aviation will undoubtedly be shaped by AI—but it’s the human pilot who must remain in command.

A race to presumption?

Following the tragic loss of Air India Flight AI171 (VT-ANB), many in the aviation community have been quick to assume the worst — that the dual engine shutdown was a result of intentional pilot action. But in the rush to post expert takes, are we neglecting due process and deeper questions?

The AAIB India preliminary report clearly states both engine fuel control switches moved to CUTOFF within one second. But it stops short of attributing intent.

The accompanying cockpit audio captures one pilot asking: “Why did you cut off?” — met with a stunned denial. This is not the voice of malice; it’s the voice of confusion.

Yet commentary across LinkedIn, Twitter, and industry channels echoes one refrain in immediate response: “The pilot did it.”

What concerns us most is the eagerness of seasoned professionals — some with safety in their titles — to publicly declare intentionality, before root cause analysis is complete. This isn’t just speculative. It’s corrosive.

EASA SIB NM-18-33 (2018) already flagged the possibility of accidental disengagement of fuel control switches due to faulty or insecure locking mechanisms on the very same aircraft type. Its non-mandatory advisory status meant this known risk didn’t lead to structural changes or enforced inspections.

The AAIB report identifies no crew incapacitation, no CVR evidence of panic or sabotage — only the fact that two switches moved. So why are so many people leaping ahead of the evidence?

This incident should not become another case study in hindsight bias and “armchair CRM.” Speculating before final reports are released erodes public trust, diminishes investigative integrity, and places undue emotional pressure on the families and colleagues of those lost.

The focus now should be:

1. Investigating whether mechanical, ergonomic, or design factors made accidental switch movement possible

2. Revisiting the sufficiency of NM-18-33, given that its very concern may have materialised

3. Supporting a fact-driven, non-punitive approach to understanding how this disaster unfolded

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