AIF-C01 Guidelines for Responsible AI Practice Question
A company develops a chatbot using Amazon Lex. To ensure transparency, what should the chatbot do when it cannot answer a question?
⚠ Common exam trap
AWS often tests the misconception that a chatbot should always escalate or remain passive when it cannot answer, but the correct approach under responsible AI is to acknowledge the limitation and offer alternatives, not to hide or mislead.
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 state that it cannot answer and offer alternatives
Responsible AI guidelines, including those from AWS for Amazon Lex, require that when a chatbot cannot answer a question, it should clearly state its inability and offer alternatives (e.g., rephrasing the query or providing related topics). This maintains transparency and user trust, aligning with the 'Explainability' principle under the Guidelines for Responsible AI.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Remain silent and wait for the next input
Why it's wrong here
Silence leaves the user without acknowledgement, breaching transparency; Amazon Lex should return a fallback intent response explaining it cannot answer and suggesting alternatives. Remaining silent is tempting as a way to avoid incorrect output, but it degrades user experience and provides no explanation of the limitation.
- ✗
Provide a random answer from a predefined list
Why it's wrong here
Random predefined answers fabricate information, directly violating transparency and risking misleading users. A fallback intent should honestly state the limitation and offer escalation or rephrasing. The option tempts because it keeps conversation flowing, but inventing responses undermines trust and can cause harm.
- ✓
Clearly state that it cannot answer and offer alternatives
Why this is correct
When confidence is low, the bot must acknowledge its inability rather than fabricate an answer, satisfying the transparency requirement. Explicitly stating it cannot answer and suggesting alternatives prevents misleading users, which is central to responsible conversational AI design.
- ✗
Automatically escalate all unanswered questions to a human
Why it's wrong here
Escalating every unanswered question to a human is not transparency; it bypasses the fallback intent that should first inform the user the bot cannot answer. The option tempts because human handover resolves queries, but transparency requires the chatbot itself to disclose its limitation before escalation.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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