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AI Associate AI Fundamentals Practice Question

A company is deploying an AI chatbot for customer service. Which THREE ethical considerations should be addressed? (Select 3)

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

Protecting customer data privacy during model training and inference

Transparency, bias mitigation, and data privacy are key ethical areas for AI systems.

Answer analysis

Option-by-option breakdown

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

  • Protecting customer data privacy during model training and inference

    Why this is correct

    Data privacy is a core ethical and legal requirement.

  • Using the most complex deep learning architecture available

    Why it's wrong here

    Complexity is not an ethical concern.

  • Mitigating bias in training data that could lead to unfair responses

    Why this is correct

    Bias can lead to unethical treatment of certain groups.

  • Ensuring the chatbot explains when a customer is speaking to AI

    Why this is correct

    Transparency requires disclosing AI interaction.

  • Maximizing the number of training epochs

    Why it's wrong here

    Training epochs are a technical detail, not ethical.

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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.