Ethical considerations of AI in decision-making revolve around issues such as bias, accountability, and transparency. AI systems can inadvertently perpetuate existing biases present in training data, leading to unfair outcomes in areas like hiring, credit scoring, and law enforcement. Ensuring accountability for the actions of AI systems poses challenges, as it can be unclear who is responsible for the information generated or decisions made. Additionally, transparency in AI algorithms is vital to build trust among end-users and stakeholders. Addressing these ethical issues is essential to harness the positive potentials of AI while mitigating potential harms and fostering equitable outcomes.