Questions about real experience
1. Which work task did you most recently change with AI? 2. Why did you choose that tool? 3. What remained under human control? These questions distinguish experience from general commentary and reveal whether the candidate starts with a problem.
Questions about verification
4. Which AI error did you identify? 5. How do you verify facts and logic? 6. When do you reject the machine output? Strong candidates name sources, criteria and confidence limits rather than saying “I check everything”.
Questions about data and accountability
7. Which data would you never share with an external service? 8. Who owns the final outcome? 9. How would you explain the source of a conclusion? Answers reveal maturity around confidentiality, traceability and professional accountability.
Questions about adaptability
10. How do you learn a new tool? 11. How do you measure the value of change? 12. Which process would you not automate again? The last question tests the ability to acknowledge mistakes and stop using technology when it creates no value.
Practical checklist
- A specific situation
- The candidate’s personal role
- Quality-control method
- Data-handling rules
- A measurable outcome and learning
Frequently asked questions
Should every role use the same questions?
Use the same themes but adapt scenarios and depth to the real work of the position.
Can AI be allowed during a practical task?
Yes. It reveals the process when decisions, verification and explanation are assessed rather than the final answer alone.