The answer is human oversight and documentation of model decisions. Human oversight is essential because it ensures that AI outputs can be reviewed, overridden, or corrected by a person, directly supporting accountability and safety as required by frameworks like the EU AI Act and NIST AI Risk Management Framework. Documentation of model decisions is equally critical, as it creates a transparent record of how the AI reached its conclusions, enabling audits and bias detection—a core pillar of essential ethical practices for AI compliance. On the Salesforce AI Associate exam, this pairing tests your understanding that ethical AI is not just about building fair models but also about maintaining human control and traceability. A common trap is choosing only technical fixes like retraining data, but the exam emphasizes governance over tuning. Memory tip: think “Watch and Write”—humans watch the AI, and you write down what it did.
AI Associate Ethical Considerations of AI Practice Question
This AI Associate practice question tests your understanding of ethical considerations of ai. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company wants to ensure their AI model complies with ethical guidelines. Which TWO actions are essential? (Choose two.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Provide human oversight
Human oversight (Option B) is essential because it ensures that AI decisions can be reviewed, overridden, or corrected by a person, which is a core requirement of ethical AI frameworks such as the EU AI Act and NIST AI Risk Management Framework. This oversight helps catch biased outputs, edge cases, or harmful actions that the model might produce, maintaining accountability and safety.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Avoid transparency
Why it's wrong here
Transparency is a core ethical principle; avoiding it is unethical.
✓
Provide human oversight
Why this is correct
Correct. Human oversight ensures decisions can be reviewed and overridden.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use the most complex model
Why it's wrong here
Complexity does not guarantee ethical compliance.
✗
Automate all decisions
Why it's wrong here
Full automation reduces human oversight and accountability.
✓
Document model decisions
Why this is correct
Correct. Documentation supports transparency and auditability.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Salesforce often tests the misconception that 'automation' is always the goal of AI, but the trap here is that ethical guidelines require human oversight and documentation, not full automation or complexity.
Detailed technical explanation
How to think about this question
Under the hood, human oversight can be implemented via human-in-the-loop (HITL) systems where a model flags low-confidence predictions for manual review, or via human-on-the-loop (HOTL) where humans monitor automated decisions and can intervene. In practice, a model might output a confidence score below a threshold (e.g., 0.7) and automatically route the decision to a human operator, ensuring that the final action is ethically vetted. Documenting model decisions (Option E) supports this by creating an audit trail of inputs, outputs, and confidence scores, which is critical for post-hoc analysis and regulatory compliance.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the AI Associate exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Ethical Considerations of AI — This question tests Ethical Considerations of AI — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Provide human oversight — Human oversight (Option B) is essential because it ensures that AI decisions can be reviewed, overridden, or corrected by a person, which is a core requirement of ethical AI frameworks such as the EU AI Act and NIST AI Risk Management Framework. This oversight helps catch biased outputs, edge cases, or harmful actions that the model might produce, maintaining accountability and safety.
What should I do if I get this AI Associate question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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