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Ethical AI and Data PrivacyeasyMultiple ChoiceObjective-mapped

AI Associate Ethical AI and Data Privacy Practice Question

A company wants to use Einstein Sentiment Analysis to classify customer feedback. What is the FIRST step they should take to ensure ethical use of customer data?

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

Obtain proper consent from customers for using their data in AI

Ethical AI begins with data governance. Obtaining proper consent from customers to use their feedback for AI analysis is a fundamental requirement under privacy regulations like GDPR and CCPA. It also aligns with the Trusted AI principle of Empathy, respecting customer autonomy.

Answer analysis

Option-by-option breakdown

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

  • Set up an audit trail for all AI actions

    Why it's wrong here

    Audit trails are important for accountability but come after data collection; consent precedes collection.

  • Choose a pre-trained model to avoid using customer data

    Why it's wrong here

    Even pre-trained models may require customer data for fine-tuning or inference; consent is still needed.

  • Obtain proper consent from customers for using their data in AI

    Why this is correct

    Consent is the foundation of ethical data use. Without it, any further steps may violate privacy regulations.

  • Anonymize all customer feedback before analysis

    Why it's wrong here

    Anonymization is important but should come after obtaining consent; consent is the first ethical step.

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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.