AI0-001 AI Governance and Ethics Practice Question
A company deploys an AI chatbot that generates product descriptions. The company wants to be transparent about AI-generated content. Which practice should they follow?
⚠ Common exam trap
It's easy for candidates to think transparency is achieved through documentation alone (like model cards) or through hidden mechanisms, but Cisco tests that direct, user-visible labeling of AI-generated content is the ethical standard.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Clearly label AI-generated content as such
Transparency about AI-generated content is a core principle of AI governance and ethics. Labeling AI-generated outputs as such allows users to make informed decisions about the content they consume, aligning with responsible AI practices.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Clearly label AI-generated content as such
Why this is correct
Labelling AI-generated product descriptions directly satisfies the transparency requirement by disclosing the content's synthetic origin to readers. Unlike watermarking, which embeds imperceptible signals, or provenance metadata, which machines read, a visible label communicates authorship at the point of consumption, ensuring customers know the text was produced by the chatbot rather than a human.
- ✗
Publish a model card, but not label individual outputs
Why it's wrong here
A model card documents the model's intended use, training data and limitations, not which outputs are AI-generated. The scenario demands per-output transparency, so each description needs an explicit AI-generated label. Model cards suit governance documentation accompanying a released model, not disclosure at the point of content delivery.
- ✗
Add an invisible watermark but do not inform users
Why it's wrong here
Transparency requires users to know content is AI-generated; an undisclosed watermark leaves them unaware, defeating the stated goal. Watermarking supports provenance and detection, but pairing it with explicit disclosure is what satisfies transparency obligations in this scenario.
- ✗
Do not disclose that content is AI-generated to avoid user confusion
Why it's wrong here
Concealing AI generation directly contradicts the transparency objective, since users cannot make informed judgements about the content. Disclosure, not silence, is the required practice; withholding it to avoid confusion substitutes a usability concern for the ethical and regulatory duty to be open about automated generation.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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