Question 554 of 753
AI Associate Ethical Considerations of AI Practice Question
A company wants to deploy an AI system that makes hiring decisions. To comply with ethical guidelines, what should they do before deployment?
⚠ Common exam trap
Salesforce often tests the misconception that high accuracy alone guarantees ethical AI, when in fact fairness metrics and bias testing are mandatory to prevent discriminatory outcomes in high-stakes applications like hiring.
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
✓
Conduct an ethics review and perform bias testing on diverse datasets.
Conducting an ethics review and performing bias testing on diverse datasets are essential steps to identify and mitigate potential discriminatory outcomes in AI-driven hiring systems. This aligns with ethical AI frameworks that require fairness, accountability, and transparency before deployment, ensuring the model does not perpetuate historical biases or violate anti-discrimination laws.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Conduct an ethics review and perform bias testing on diverse datasets.
Why this is correct
Ethics review and bias testing are proactive measures.
- ✗
Ensure the system achieves high accuracy and ignore other metrics.
Why it's wrong here
Accuracy alone is insufficient for ethical AI.
- ✗
Deploy immediately and monitor for issues.
Why it's wrong here
Deployment without prior testing may cause harm.
- ✗
Test the system only on a small dataset to expedite launch.
Why it's wrong here
Small testing may not reveal biases.
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Last reviewed: Jun 30, 2026
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.
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