Courseiva
Ethical Considerations of AIeasyMultiple ChoiceObjective-mapped

AI Associate Ethical Considerations of AI Practice Question

A company wants to use Einstein Vision for product categorization. To ensure ethical use, they should:

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

Test the model for bias across different demographic groups.

Testing for bias across demographic groups helps ensure the model treats all users fairly.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Avoid using any images that contain people.

    Why it's wrong here

    This may not be feasible and could limit functionality.

  • Test the model for bias across different demographic groups.

    Why this is correct

    Directly addresses fairness.

  • Use only high-resolution images.

    Why it's wrong here

    Resolution is not an ethical concern.

  • Only use images from a single demographic.

    Why it's wrong here

    This would introduce bias.

About these practice questions

Courseiva writes every AI Associate question from scratch — 753 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

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.