The answer is implementing logging and auditing of model decisions, along with assigning a human owner for each AI system. These two practices ensure accountability by creating a transparent, traceable record of how an AI model arrives at its outputs, which allows for review and correction when errors occur, while a designated human owner provides a clear point of responsibility for the system’s behavior and compliance with ethical guidelines. On the Salesforce AI Associate exam, this concept tests your understanding of governance frameworks, often appearing in questions about mitigating bias or handling model failures. A common trap is confusing technical monitoring with accountability—logging alone is insufficient without a named person to act on the findings. Remember the mnemonic “LOG and OWN”: Log every decision, and Own every system with a human lead.
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.
Which TWO practices help ensure accountability in AI systems?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Assign a human owner for each AI system.
Option B is correct because assigning a human owner for each AI system establishes clear accountability, ensuring that a specific individual is responsible for the system's behavior, decisions, and compliance with ethical guidelines. This practice aligns with the principle of human oversight, which is critical for maintaining trust and addressing failures in AI systems.
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.
✗
Blame the AI system for mistakes to protect employees.
Why it's wrong here
Blame should be attributed to humans.
✓
Assign a human owner for each AI system.
Why this is correct
Human ownership ensures responsibility.
Related concept
Read the scenario before looking for a memorised answer.
✗
Automate all decisions to eliminate human error.
Why it's wrong here
Automation without oversight reduces accountability.
✓
Implement logging and auditing of model decisions.
Why this is correct
Logging enables review and accountability.
Related concept
Read the scenario before looking for a memorised answer.
✗
Open-source the model code to share responsibility.
Why it's wrong here
Open-sourcing does not assign responsibility.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Salesforce often tests the distinction between technical transparency (like open-sourcing code) and operational accountability (like assigning a human owner), leading candidates to mistakenly choose open-sourcing as a sufficient accountability practice.
Detailed technical explanation
How to think about this question
In practice, assigning a human owner involves defining roles such as an AI Ethics Officer or a Model Risk Manager, who is responsible for monitoring model drift, reviewing audit logs, and ensuring compliance with frameworks like the NIST AI Risk Management Framework. This owner must have the authority to halt or modify the system if it deviates from expected behavior, which is critical in regulated industries like finance or healthcare where AI decisions can have legal consequences.
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 small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
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: Assign a human owner for each AI system. — Option B is correct because assigning a human owner for each AI system establishes clear accountability, ensuring that a specific individual is responsible for the system's behavior, decisions, and compliance with ethical guidelines. This practice aligns with the principle of human oversight, which is critical for maintaining trust and addressing failures in AI systems.
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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