Which step is useful for reducing bias in an AI system?

Correct answer: Use diverse and balanced data

Using diverse and balanced training data can provide better representation of the groups affected by an AI system and reduce the chance that one group is consistently disadvantaged. Developers should also evaluate results across groups, because balanced data alone does not guarantee fairness. Restricting data to one group, adding inaccurate information, or skipping evaluation can increase bias; therefore option A is the best answer.