AI Associate AI Fundamentals Practice Question
According to Salesforce's AI Trust Principles, which TWO practices are essential for ethical AI deployment?
⚠ Common exam trap
Many exam-takers confuse 'automation' with 'efficiency' and select Option C, overlooking that ethical AI frameworks like Salesforce's explicitly require human-in-the-loop review for high-stakes decisions.
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
✓
Hold the organization accountable for AI-driven outcomes.
Salesforce's AI Trust Principles emphasize organizational accountability for AI-driven outcomes, ensuring that the organization takes responsibility for the decisions and impacts of its AI systems. This principle aligns with ethical AI deployment by requiring governance, oversight, and mechanisms to address unintended consequences, rather than shifting blame to the technology itself.
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 AI to replace human jobs entirely.
Why it's wrong here
AI should augment, not replace, humans.
- ✗
Ensure models achieve 100% accuracy before deployment.
Why it's wrong here
Perfection is unrealistic; continuous improvement is key.
- ✗
Fully automate decision-making without human review.
Why it's wrong here
Ethical AI requires human oversight.
- ✓
Hold the organization accountable for AI-driven outcomes.
Why this is correct
Accountability ensures responsible use.
- ✓
Be transparent about how AI models are built and used.
Why this is correct
Transparency builds trust.
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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.