The ethical implications of artificial intelligence in decision-making include concerns about bias, accountability, and transparency. AI systems can inadvertently perpetuate or amplify existing biases present in their training data, leading to unfair outcomes, especially in sensitive areas like hiring or law enforcement. Additionally, as AI assumes more decision-making responsibilities, questions arise regarding who is accountable for errors or biases—developers, users, or the AI itself. Moreover, the opacity of many AI algorithms can hinder transparency, raising concerns over informed consent and the ability of individuals to challenge or understand automated decisions.