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Ethical AI and Data PrivacymediumMultiple SelectObjective-mapped

AI Associate Ethical AI and Data Privacy Practice Question

A company uses Einstein Bots to handle customer inquiries. To comply with GDPR's right to explanation for automated decisions affecting customers, which TWO capabilities must the bot implementation include?

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

Provide a mechanism for customers to request an explanation of the bot's decision

Right to explanation requires that customers can get reasons for automated decisions. Logging the factors and providing a way for customers to request explanations are key. Using consent management and data retention are important but not specifically for explanation.

Answer analysis

Option-by-option breakdown

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

  • Collect explicit consent from customers before using the bot

    Why it's wrong here

    Consent is a separate GDPR requirement, not the right to explanation.

  • Use a pre-trained model with high accuracy on industry benchmarks

    Why it's wrong here

    Accuracy does not address explainability.

  • Provide a mechanism for customers to request an explanation of the bot's decision

    Why this is correct

    This directly fulfills the right to explanation.

  • Retain customer data for at least 30 days after the interaction

    Why it's wrong here

    Retention is a data lifecycle issue, not about explanation.

  • Log the factors that influenced the bot's decision for each interaction

    Why this is correct

    Logging factors enables the company to provide explanations later.

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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.