The potential risks associated with AI in decision-making processes include issues related to bias, accountability, and transparency. AI systems can inadvertently perpetuate existing biases present in training data, leading to unfair outcomes in critical areas like hiring or lending. Furthermore, the "black box" nature of many AI models makes understanding their decision processes challenging, raising ethical concerns about accountability when errors occur. Additionally, over-reliance on AI can lead to a lack of human oversight, which may undermine critical thinking and responsible decision-making. Proper governance and continuous monitoring are essential to mitigate these risks.