NCA-GENM Question 223
Select 3A company is developing a generative AI system to create product descriptions for an e-commerce platform. During testing, they notice that the AI system generates biased descriptions favoring certain demographic groups over others. Which steps should the company take to minimize bias in their AI system?
- A
Diversify the training dataset to include a wide representation of demographics and categories.
- B
Implement regular bias audits and fairness evaluations throughout the AI lifecycle.
- C
Rely solely on pre-trained models without further fine-tuning or evaluation.
- D
Allow the AI system to self-correct over time without human intervention.
- E
Use explainability tools to identify potential sources of bias in the model's decision-making.
Show answer and explanation
Correct answers: A, B, E
Explanation
Minimizing bias in AI systems requires a proactive and multifaceted approach. By diversifying the training data, conducting regular bias audits, and using explainability tools, developers can identify and mitigate biases that may arise during the development and deployment of the AI system. Solely relying on pre-trained models or assuming the system can self-correct without intervention risks perpetuating or amplifying biases, which is not an effective strategy.
- A. Correct.
Diversifying the training dataset ensures that the AI system is trained on a balanced and representative dataset, which is crucial for reducing bias in its outputs.
- B. Correct.
Regular bias audits and fairness evaluations help identify and address any biases that may emerge during the development and deployment of the AI system.
- C. Incorrect.
Relying solely on pre-trained models without further fine-tuning or evaluation can perpetuate existing biases in the pre-trained data, making this an ineffective approach to minimizing bias.
- D. Incorrect.
Allowing the AI system to self-correct over time without human intervention assumes that the model can fix its own biases, which is not feasible without intervention or oversight.
- E. Correct.
Explainability tools help identify the root causes of biased decision-making by the AI system, enabling developers to take corrective actions.