Transparency and explainability: Which responsible-AI principle | AIGP
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Transparency and explainability: Which responsible-AI principle does this most directly reflect?

AIGP Understanding the Foundations of AI Governance Easy

Telling affected people that AI is used and how it decides is the transparency and explainability principle.

The question

A company states that individuals affected by its AI system should be told, in understandable terms, that AI is being used and how it reaches its conclusions. Which responsible-AI principle does this most directly reflect?

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  1. Accountability, so a clearly identified party answers for outcomes and can be held responsible.
    Plausible but wrong: accountability assigns responsibility for outcomes, not disclosure to affected individuals.
  2. Safety and reliability, so the system performs consistently and avoids foreseeable harm in use.
    Plausible but wrong: this principle concerns dependable performance, not communicating how the system works.
  3. Privacy and security, so personal data is protected and the system resists external access.
    Plausible but wrong: this addresses data protection, not disclosure of AI use and reasoning.
  4. Transparency and explainability, so affected people understand that and how AI is being used. ✓
    Correct: disclosing AI use and making its reasoning understandable is the transparency and explainability principle.
The trap
Selecting accountability for any 'good governance' statement, when the cue here is disclosure and understandability.

How to remember it

Telling affected people that AI is used and how it decides is the transparency and explainability principle.

How many of these would you get right?

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Part of the Certsqill AIGP question bank · Understanding the Foundations of AI Governance · Every answer, right and wrong, comes with its own explanation.