AI Associate Ethical Considerations of AI Practice Question
Exhibit
Refer to the exhibit.
```json
{
"modelName": "LeadScoring_v2",
"features": ["LeadSource", "Industry", "CompanySize", "EmailDomain", "NumberOfEmployees"],
"target": "Converted",
"trainingData": {
"source": "Salesforce_Leads_2019-2021",
"recordCount": 50000,
"classBalance": {"Converted": 5000, "NotConverted": 45000}
},
"evaluationMetrics": {
"accuracy": 0.92,
"precision": 0.85,
"recall": 0.30
}
}
```An AI Associate reviews the Lead Scoring model exhibit. What is the primary ethical concern with this model?
⚠ Common exam trap
Salesforce often tests the distinction between a technical problem (like imbalanced data) and its ethical consequence (like low recall causing unfair outcomes), so candidates mistakenly pick the technical cause (D) instead of the ethical impact (B).
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
✓
The model has low recall, potentially missing minority class leads.
The primary ethical concern is that the model has low recall, meaning it fails to identify a significant portion of actual positive leads (the minority class). In a lead scoring context, this can result in missed business opportunities and potential bias against certain customer segments, as the model systematically overlooks valuable leads that do not fit the majority pattern.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The model uses too many features.
Why it's wrong here
Number of features is not an ethical concern by itself.
- ✓
The model has low recall, potentially missing minority class leads.
Why this is correct
Low recall can lead to underrepresentation of certain groups.
- ✗
The model is not explainable.
Why it's wrong here
The model type is not specified; interpretability is not directly addressed.
- ✗
The training data is imbalanced.
Why it's wrong here
Imbalance is a technical concern, but the ethical concern is the impact of low recall.
Go deeper
Related to this question
About these practice questions
One of 753 original AI Associate practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
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.