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Ethical AI and Data PrivacyeasyMultiple ChoiceObjective-mapped

AI Associate Ethical AI and Data Privacy Practice Question

A company wants to implement an AI-powered customer service chatbot that generates responses based on customer inquiries. To comply with GDPR requirements for automated decision-making, what must the company provide to customers?

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

A clear explanation of how the AI reaches its conclusions and the option to request human review.

Under GDPR Article 22, customers have the right to request an explanation of automated decisions and to contest them. Transparency about AI limitations is also part of Salesforce's Honesty principle.

Answer analysis

Option-by-option breakdown

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

  • A clear explanation of how the AI reaches its conclusions and the option to request human review.

    Why this is correct

    GDPR requires meaningful information about the logic involved in automated decisions and the right to human intervention.

  • The ability to opt out of all AI interactions entirely.

    Why it's wrong here

    While opt-out may be required, it is not the only requirement; explanation and human review are also needed.

  • A copy of the AI model's source code upon request.

    Why it's wrong here

    Source code disclosure is not required; the explanation must be intelligible to the customer.

  • An assurance that no personal data is used in training the AI model.

    Why it's wrong here

    The AI may use personal data; GDPR does not require zero data use but rather transparency and control.

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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.