The implementation of AI in decision-making presents potential risks including bias, transparency issues, and over-reliance. AI systems can inadvertently incorporate biases present in training data, leading to unfair outcomes. Additionally, many AI algorithms function as "black boxes," making it challenging to understand the rationale behind their decisions. This lack of transparency may result in accountability issues. Over-reliance on AI can also decrease human oversight, potentially allowing for erroneous or harmful decisions affecting businesses and society as a whole.