Example Concept: AI systems can inadvertently perpetuate biases present in training data, leading to skewed decision-making. Additionally, AI models often operate as "black boxes," making it difficult for decision-makers to understand the rationale behind certain predictions or recommendations. This lack of transparency can hinder trust and accountability in strategic decisions.