Brian N. Huh · Aviation Human Factors & AI Trust Research

AI Trust Assessment
for Aviation Professionals

A short assessment to help you understand your current trust in AI tools in aviation — and what that means for your role and practice.

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About This Assessment

Research on aviation professionals found that how broadly you engage with your field — learning methods, operational experience, professional networks — is the single strongest predictor of AI trust. This assessment measures that across 9 questions.

Takes about 5 minutes. Your responses are used only to calculate your score — nothing is stored or shared unless you choose to send yourself a copy or express interest in a team assessment. Based on: Huh, B.N. (2024). Journal of the International Society of Air Safety Investigators, 57, 26–27, 30.

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What you'll learn
Your AI trust profile and where your biggest growth opportunities are.
How long
About 5 minutes. Checkboxes only — select what applies to you.
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What you get
A profile with engagement breakdown and role-specific next steps.
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Privacy
Calculations stay in your browser. Nothing shared without your action.

After completing your profile, you'll see how to run this across your full team.

Question 1 of 9

What is your primary role in aviation?

Select the option that best describes your current position.

Please select your primary role to continue.

Question 2 of 9

How do you stay current with aviation safety developments?

Select all methods you use regularly.

Please select at least one option, or use "None of these apply to me" below.

Question 3 of 9

Which types of aviation safety investigations have you been involved in?

Select all that apply across your career.

Please select at least one option, or use "None of these apply to me" below.

Question 4 of 9

Which types of human factors improvements have you recommended or implemented?

Select all that apply across your career.

Please select at least one option, or use "None of these apply to me" below.

Question 5 of 9

Which aviation safety and human factors resources are you familiar with?

Select all resources you have used or consulted.

Please select at least one option, or use "None of these apply to me" below.

Question 6 of 9

Which AI or advanced technology applications are you familiar with in aviation?

Select all you have encountered, used, or learned about.

Please select at least one option, or use "None of these apply to me" below.

Question 7 of 9

Which aviation sectors have you worked in during your career?

Select all that apply.

Please select at least one option, or use "None of these apply to me" below.

Question 8 of 9

Which professional organizations are you a member of or actively engaged with?

Select all that apply.

Please select at least one option, or use "None of these apply to me" below.

Question 9 of 9

Which information sources do you regularly use to stay informed about aviation safety?

Select all that apply.

Please select at least one option, or use "None of these apply to me" below.

Your Results

Your AI Trust Profile

Based on your professional engagement across 8 areas

-- /100
Where you sit among the four trust tiers
Early Stage
0–29
Developing
30–49
Established
50–74
Advanced
75–100
Sample avg. 54
Your role

Role Context

Engagement by Area

What This Means for You

Suggested Next Steps


Send yourself a copy

Enter your email and we'll send your results and next steps directly to your inbox.

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✓ Results sent — check your inbox.

Your score tells you where you stand. It doesn't tell you where your team is.

Aviation safety runs on shared judgment. When AI trust is unevenly distributed across a team — some over-reliant, others reflexively skeptical — you get inconsistent adoption, blind spots in oversight, and no shared basis for evaluating tools. That's a governance problem, not just a training gap.

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See the full picture

AI trust scores for every team member, broken down by role and engagement area.

⚠️
Spot the gaps

Identify who is under- or over-trusting AI — before it affects decisions in the field.

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Act on evidence

Ranked development priorities specific to your team's actual profile, not generic training.

  • Team-level AI trust score with distribution across all four tiers
  • Breakdown by role — see where investigators, managers, and ops staff differ
  • 8-dimension engagement gap analysis showing where the team is weakest
  • Ranked, evidence-based development priorities for your organization
  • Built on the same validated research — takes about 5 minutes per person

Used by aviation safety leaders to understand their team's AI readiness before it becomes a problem.

Your details and assessment results will be sent to Brian Huh (huhb@marshall.usc.edu), with a copy to you. No mailing lists. No automated follow-up.

✓ Sent. Expect a personal response within a few days.