AI Associate Ethical Considerations of AI Practice Question
A company deployed an AI chatbot for customer service. After a week, they receive complaints that the chatbot responds differently based on customer accent. The ethical issue is most likely due to:
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
✓
Bias in the training data leading to discriminatory behavior
The chatbot's differing responses based on accent indicate bias in the training data or model. Option D (bias in training data leading to discriminatory behavior) is correct because AI models learn from data, and if the data contains accents correlated with negative outcomes, the model perpetuates that. Option A (insufficient compute resources) is unrelated. Option B (lack of chatbot personality) is not ethical. Option C (user interface design) is not the cause.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Lack of personality in the chatbot responses
Why it's wrong here
Personality is unrelated to ethical issues.
- ✗
Insufficient computational resources allocated to the chatbot
Why it's wrong here
Resources do not cause discriminatory responses.
- ✗
Poor user interface design
Why it's wrong here
UI design does not cause differential treatment based on accent.
- ✓
Bias in the training data leading to discriminatory behavior
Why this is correct
Bias in data is a common source of unfair AI behavior.
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Written by Johnson Ajibi, MSc IT Security
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