Discuss the ethical implications of deploying AI systems in sensitive areas such as healthcare and criminal justice, focusing on issues of bias, fairness, and accountability.

Deploying AI in sensitive areas raises ethical concerns about bias, fairness, and accountability. In healthcare, biased training data can lead to unequal treatment outcomes, while in criminal justice, biased algorithms can perpetuate existing inequalities. Ensuring fairness requires rigorous testing and validation of AI systems on diverse datasets, transparent reporting of model decisions, and mechanisms for accountability, such as audit trails and explainable AI techniques to clarify decision-making processes.