The Biased Job Applicant: An AI system used by a company to screen job applicants favors candidates from a particular socioeconomic background due to historical data. To address fairness, the company must (select all good answers).
A. Ignore the bias since the AI reflects past decisions, which may be considered fair.
B. Adjust the AI to remove the bias, but risk losing historical consistency.
C. Collect new, more diverse data and retrain the AI, potentially delaying hiring processes.
D. Use a combination of adjustments and retraining, while considering the cost and time implications.