A potential drawback of using artificial intelligence in decision-making processes is the inherent risk of bias in algorithms. If the training data used to develop an AI system is flawed or unrepresentative, it can lead to biased outcomes that affect fairness and equity. Additionally, reliance on AI may reduce human oversight, potentially causing accountability issues in critical areas. It’s important for organizations to implement rigorous testing and monitoring to mitigate these risks.