The ethical challenges surrounding AI in decision-making primarily revolve around issues of bias, transparency, and accountability. AI systems can unintentionally perpetuate biases present in training data, leading to unfair outcomes in critical areas such as hiring, law enforcement, and lending. Furthermore, the "black box" nature of many AI algorithms makes it difficult to understand how decisions are made, raising concerns about lack of transparency. Finally, accountability remains a pressing issue when AI systems make decisions that impact individuals’ lives. Addressing these challenges is essential to ensure responsible AI deployment.