AI Associate Ethical Considerations of AI Practice Question
A company is developing a chatbot for customer service. They want to ensure the bot does not generate offensive responses. Which practice should they implement?
⚠ Common exam trap
Salesforce often tests the misconception that unsupervised learning or removing safeguards is acceptable for safety, when in fact explicit content filtering and human oversight are required to prevent offensive outputs.
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
✓
Deploy a content filter and human-in-the-loop moderation for sensitive interactions.
Deploying a content filter combined with human-in-the-loop moderation provides both automated detection of offensive language and human oversight for ambiguous or sensitive interactions. This layered approach ensures that the chatbot can block clearly toxic outputs in real time while allowing human reviewers to handle edge cases, reducing the risk of generating offensive responses.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use unsupervised learning to allow the bot to learn naturally from conversations.
Why it's wrong here
Unsupervised learning lacks control over output safety.
- ✗
Remove all toxicity detection to avoid false positives.
Why it's wrong here
Removing detection increases risk of offensive content.
- ✗
Train the model only on customer service transcripts without review.
Why it's wrong here
Unreviewed data may contain biased or toxic language.
- ✓
Deploy a content filter and human-in-the-loop moderation for sensitive interactions.
Why this is correct
Content filters and human oversight prevent harmful outputs.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI Associate practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI Associate exam.