Exam AIGP topic 1 question 146 discussion

During the planning and design phases of the AI development life cycle, bias can be reduced by stakeholder involvement, human oversight, and data collection, but not primarily by feature selection. Feature selection typically occurs after data collection, during model development and training—not in the initial planning and design phases.​ Stakeholder involvement ensures diverse perspectives and can guide ethical, fair system design.​ Human oversight is vital for early identification and discussion of potential bias sources.​ Data collection shapes the representativeness and fairness of training data, which is foundational to bias reduction.​ Feature selection, on the other hand, involves choosing which variables to use in modeling after the system and dataset have been planned and assembled. Therefore, the correct answer is B: Feature selection