AI Associate Ethical Considerations of AI Practice Question
According to Salesforce's AI ethics principles, which three pillars should guide the development of AI applications?
⚠ Common exam trap
Salesforce often tests candidates by including plausible-sounding business or technical terms like 'profitability' or 'scalability' as distractors, leading them to confuse operational goals with ethical mandates.
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
✓
Accountability.
Accountability is one of Salesforce's core AI ethics principles, requiring that organizations take responsibility for the outcomes of their AI systems. This principle ensures that there is human oversight and that AI applications are designed with mechanisms for redress and governance, aligning with Salesforce's commitment to ethical AI development.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Accountability.
Why this is correct
Accountability for AI outcomes.
- ✓
Transparency.
Why this is correct
Transparency about how AI works.
- ✗
Profitability.
Why it's wrong here
Profitability is a business goal, not an ethical pillar.
- ✗
Scalability.
Why it's wrong here
Scalability is a technical requirement.
- ✓
Fairness.
Why this is correct
Fairness ensures no discrimination.
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