NCA-GENL Question 222
Select 4You are building a generative AI model for summarizing legal documents. During testing, you notice that the model consistently generates biased outputs favoring one legal party over the other. Which steps should you take to minimize bias in this AI system?
- A
Use a more diverse and representative training dataset that includes examples from multiple legal parties.
- B
Apply post-processing techniques to correct biased outputs after the model generates them.
- C
Ensure that the model's architecture is specifically optimized for fairness by implementing bias-aware loss functions.
- D
Increase the size of the training dataset without reviewing its composition for potential biases.
- E
Conduct regular bias audits during the model's development and testing phases.
Show answer and explanation
Correct answers: A, B, C, E
Explanation
Minimizing bias in AI systems requires a combination of approaches, including using diverse datasets, applying fairness-aware methods during training, correcting outputs post-generation, and conducting regular audits. Simply increasing dataset size without ensuring diversity does not address the root cause of bias, and thus is not an effective solution.
- A. Correct.
Using a diverse and representative training dataset helps reduce bias by exposing the model to a variety of scenarios, preventing it from favoring one party over another.
- B. Correct.
Post-processing techniques can help correct biased outputs, especially when bias cannot be fully addressed during training.
- C. Correct.
Optimizing the model's architecture with bias-aware loss functions ensures that fairness is directly incorporated into the training process.
- D. Incorrect.
Increasing the size of the training dataset without reviewing its composition may inadvertently reinforce existing biases, making this an ineffective step.
- E. Correct.
Regular bias audits are crucial for identifying and addressing bias at different stages of development, ensuring the model's fairness and reliability.