AI Associate Ethical Considerations of AI Practice Question
Which TWO practices help ensure accountability in AI systems?
⚠ Common exam trap
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.
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
✓
Assign a human owner for each AI system.
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.
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.
- ✗
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.
- ✗
Open-source the model code to share responsibility.
Why it's wrong here
Open-sourcing does not assign responsibility.
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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.