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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Written by Johnson Ajibi, MSc IT Security
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