The ethical considerations of AI in decision-making primarily revolve around issues of bias, transparency, and accountability. AI systems can inadvertently perpetuate biases present in the training data, leading to unfair outcomes in critical areas such as hiring or law enforcement. It's essential to ensure that AI decisions are explainable, allowing stakeholders to understand the rationale behind outcomes. Additionally, establishing accountability for AI-driven decisions is crucial, ensuring that organizations remain responsible for the implications of their technologies. Adhering to ethical principles can promote trust and fairness in AI applications.