Quick Answer
The answer is fairness, accountability, and transparency. These three pillars form the foundation of Salesforce’s AI ethics principles, ensuring that AI applications are developed with human oversight, clear responsibility for outcomes, and explainable decision-making processes. Accountability, for example, requires organizations to implement governance mechanisms and redress procedures, while transparency demands that AI systems be understandable and auditable. On the Salesforce AI Associate exam, this concept tests your grasp of how ethical guardrails directly shape model design and deployment, often appearing in scenario-based questions where a trap is to confuse “accuracy” or “efficiency” with an ethical pillar. A useful memory tip is to think of the acronym FAT: Fairness, Accountability, and Transparency—the three non-negotiable ingredients for responsible AI.
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.
According to Salesforce's AI ethics principles, which three pillars should guide the development of AI applications?
Accountability.
Accountability for AI outcomes.
Transparency.
Transparency about how AI works.
Profitability.
Why wrong: Profitability is a business goal, not an ethical pillar.
Scalability.
Why wrong: Scalability is a technical requirement.
Fairness.
Fairness ensures no discrimination.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Accountability.
Option A is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
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.
Related concept
Read the scenario before looking for a memorised answer.
Transparency.
Why this is correct
Transparency about how AI works.
Related concept
Read the scenario before looking for a memorised answer.
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.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
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.
Detailed technical explanation
Salesforce's AI ethics principles—accountability, transparency, and fairness—are embedded in their Einstein platform through features like model explainability (e.g., SHAP values for feature importance) and bias detection tools that audit training data for protected attributes. In practice, accountability requires maintaining audit trails of model decisions, while transparency mandates that users understand when AI is making recommendations, such as in Sales Cloud's lead scoring. A real-world scenario is a hiring tool that must document its decision logic to comply with EEOC guidelines, where fairness checks prevent disparate impact on protected groups.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Ethical Considerations of AI — This question tests Ethical Considerations of AI — Read the scenario before looking for a memorised answer..
The correct answer is: Accountability. — Option A is correct because 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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which THREE are key ethical considerations for AI according to Salesforce?
mediumWhy A: Options A, C, and D are correct. Privacy, transparency, and accountability are foundational ethical principles for AI. Option B is wrong because profitability is a business goal, not an ethical consideration. Option E is wrong because speed is a performance attribute.
Variation 2. Which TWO of the following are considered core ethical principles in AI according to Salesforce’s AI Ethics?
mediumWhy A: Options B and D are correct: Accountability and Transparency are key principles. Option A (Profitability) is not an ethical principle. Option C (Speed) is not a principle. Option E (Popularity) is not a principle.
Last reviewed: Jun 30, 2026
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