Question
What can be done during AI development to minimize bias?
- A. Collect massive amounts of data for training.
- B. Focus on accuracy of the data.
- C. Use diverse data, fairness metrics, and human oversight. Correct
- D. Improve on the computational efficiency and speed.
Explanation
Bias is reduced by training on diverse, representative data, measuring outcomes with fairness metrics across groups, and keeping humans in the loop to review results. Simply collecting more data can amplify existing bias if the data is skewed, and accuracy alone does not guarantee that different groups are treated fairly. Computational efficiency and speed have no effect on bias.
