AI-102 Implement generative AI solutions Practice Question
You are a generative AI engineer at a financial services company. The company uses Azure OpenAI Service to generate investment summaries. You have deployed a GPT-4 model with a content filter set to 'Low' for hate speech. The model frequently generates summaries that include biased language against certain demographics. You need to reduce biased outputs while maintaining the ability to generate detailed financial analysis. You cannot afford to retrain the model. You have the following options: A) Change the content filter severity to 'High' for all categories, B) Add a system message instructing the model to avoid bias and provide examples of unbiased summaries in the prompt, C) Use the Azure AI Language service to detect bias in the output and regenerate if bias is found, D) Deploy a different model like GPT-3.5 which has less bias. Which course of action should you take?
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
✓
Add a system message instructing the model to avoid bias and provide examples of unbiased summaries in the prompt.
Adding a system message and examples in the prompt (few-shot learning) can effectively reduce biased outputs without retraining. Option A is wrong because increasing content filter severity may block legitimate financial analysis content. Option C is wrong because detecting bias after generation and regenerating is inefficient and may still produce biased output. Option D is wrong because GPT-3.5 may also exhibit bias and may not provide the same quality of financial analysis.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use the Azure AI Language service to detect bias in the output and regenerate if bias is found.
Why it's wrong here
This is a reactive approach and may lead to multiple regeneration attempts, increasing latency and cost.
- ✓
Add a system message instructing the model to avoid bias and provide examples of unbiased summaries in the prompt.
Why this is correct
This approach guides the model to produce unbiased outputs by providing explicit instructions and examples.
- ✗
Change the content filter severity to 'High' for all categories.
Why it's wrong here
High severity may over-block and prevent legitimate financial discussions.
- ✗
Deploy a different model like GPT-3.5 which has less bias.
Why it's wrong here
GPT-3.5 can also produce biased outputs and may not meet the quality requirements for financial analysis.
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