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AI UX Design and Trust

AI Trust, Transparency and Explainability Interview Questions

What users need to see before they trust an AI recommendation, how to label AI output honestly, and how to design opt outs that respect users without breaking the product.

  • 22 questions with model answers
  • 2 foundational · 7 intermediate · 13 advanced

Foundational AI Trust, Transparency and Explainability Questions

  1. What does a user need to see to trust an AI recommendation?Concept
  2. Design the disclosure that tells a user they are talking to an AI.Artifact critique

Intermediate AI Trust, Transparency and Explainability Questions

  1. Explain the difference between explainability and transparency in a product context.Concept
  2. How much should you tell users about which model powers a feature?Concept
  3. Explain how source attribution should work in a RAG product.Case
  4. Design the settings page that gives users control over an AI feature.Case
  5. What does honest marketing copy for an AI feature look like?Artifact critique
  6. Critique an interface that presents AI output with no indication of its origin.Artifact critique
  7. What trust signals matter most to enterprise buyers specifically?Concept

Advanced AI Trust, Transparency and Explainability Questions

  1. How do citations change user behaviour, and what happens when they are wrong?Case
  2. When does showing the model's reasoning help, and when does it reduce trust?Concept
  3. Critique a design that surfaces a chain of thought to end users.Artifact critique
  4. Describe how you would design for a user who wants to audit an AI decision.Case
  5. What transparency is legally required versus merely good practice?Concept
  6. How do you build trust with a user who has had a bad experience with AI elsewhere?Case
  7. How do you communicate that user data is or is not used for training?Artifact critique
  8. Explain the trust implications of an AI feature that silently changes behaviour after a model update.Concept
  9. Describe an opt-out design that respects users without gutting the product.Case
  10. What is the relationship between explainability and regulatory exposure?Concept
  11. How would you design transparency for an agent that took ten actions?Case
  12. How do you avoid transparency that overwhelms rather than informs?Concept
  13. Design the transparency layer for a product I describe.Interview

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