Example Concept: AI systems can inadvertently perpetuate biases present in training data, leading to skewed decision-making outcomes. Additionally, the "black box" nature of some AI models can obscure how decisions are made, making it difficult for stakeholders to trust or verify results. Over-reliance on AI may also reduce human oversight, potentially overlooking nuanced factors that require human judgment.