AI Associate Ethical Considerations of AI Practice Question
A developer creates a custom AI model using Salesforce's AI platform. They want to ensure the model is fair. What should they do first?
⚠ Common exam trap
Salesforce often tests the misconception that fairness can be achieved through post-hoc actions like testing or monitoring, rather than through proactive data collection, leading candidates to choose 'Test on a small sample' or 'Deploy and monitor' as the first step.
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
✓
Collect diverse training data
Collecting diverse training data is the foundational step to ensure fairness in an AI model because it helps mitigate bias at the source. Without diverse data representing all relevant groups, the model may learn skewed patterns that lead to discriminatory outcomes, regardless of subsequent testing or monitoring.
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 a pre-trained model
Why it's wrong here
Pre-trained models may still have biases from their original data.
- ✗
Test on a small sample
Why it's wrong here
Testing is important but should come after data collection.
- ✓
Collect diverse training data
Why this is correct
Correct. Diverse data helps prevent systemic bias.
- ✗
Deploy and monitor
Why it's wrong here
Deployment should follow proper development and testing.
Go deeper
Related to this question
About these practice questions
This AI Associate question is part of Courseiva's 753-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. 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.