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Ethical Considerations of AIeasyMultiple ChoiceObjective-mapped

AI Associate Ethical Considerations of AI Practice Question

A company is deploying an AI-powered chatbot for customer service. The chatbot is trained on historical support tickets. Which ethical consideration is MOST important to address before deployment?

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

Checking for biased or discriminatory patterns in training data

Historical data may contain biased responses, leading to unfair treatment of customers. Option A is wrong because cost is a business consideration, not ethical. Option B is wrong while performance is important, it is secondary to fairness. Option D is wrong because maintenance is operational.

Answer analysis

Option-by-option breakdown

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

  • Minimizing the cost of AI training

    Why it's wrong here

    Cost is a business consideration, not primarily ethical.

  • Ensuring the chatbot responds quickly to all queries

    Why it's wrong here

    Speed is a performance metric, not the most important ethical concern.

  • Checking for biased or discriminatory patterns in training data

    Why this is correct

    Bias in training data can lead to unfair or unethical outcomes.

  • Planning for regular model retraining

    Why it's wrong here

    Retraining is a maintenance task, not the primary ethical consideration.

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Same concept, more angles

1 more way this is tested on AI Associate

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. A company deployed an AI chatbot to handle customer service. The chatbot sometimes generates responses that are biased against certain demographics. The company wants to mitigate this. What is the best first step?

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  • A.Restrict chatbot to only predefined responses.
  • B.Increase model complexity.
  • C.Remove all demographic data from training.
  • D.Conduct an AI ethics audit.

Why D: Conducting an AI ethics audit is the best first step to systematically identify the root causes of bias and establish a baseline for mitigation actions. Option A is wrong because restricting the chatbot to only predefined responses limits its utility and does not address the underlying bias. Option B is wrong because increasing model complexity often amplifies existing biases rather than mitigating them. Option C is wrong because simply removing all demographic data from training does not guarantee elimination of bias and may remove valuable context needed for fair predictions.

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.