AIF-C01 · Question #81
AIF-C01 Question #81: Real Exam Question with Answer & Explanation
The correct answer is A: Include fairness metrics for model evaluation.. To implement a large language model (LLM) responsibly, the firm should focus on fairness and mitigating bias, which are critical for ethical AI deployment. A: Fairness metrics help ensure that the model's predictions are unbiased and do not unfairly discriminate against any group
Question
An accounting firm wants to implement a large language model (LLM) to automate document processing. The firm must proceed responsibly to avoid potential harms. What should the firm do when developing and deploying the LLM? (Select TWO.)
Options
- AInclude fairness metrics for model evaluation.
- BAdjust the temperature parameter of the model.
- CModify the training data to mitigate bias.
- DAvoid overfitting on the training data.
- EApply prompt engineering techniques.
Explanation
To implement a large language model (LLM) responsibly, the firm should focus on fairness and mitigating bias, which are critical for ethical AI deployment. A: Fairness metrics help ensure that the model's predictions are unbiased and do not unfairly discriminate against any group. These metrics can measure disparities in model outcomes across different demographic groups, ensuring responsible AI practices. C: Adjusting training data to be more representative and balanced can help reduce bias in the model's predictions. Mitigating bias at the data level ensures that the model learns from a diverse and fair dataset, reducing potential harms in deployment.
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