Example Concept: AI systems can process vast amounts of data to identify patterns and make predictions, but they may perpetuate existing biases if the training data is flawed. Additionally, AI lacks the ability to understand context or foresee unprecedented events, which can lead to strategic blind spots. Therefore, integrating AI with human oversight ensures that decisions are both data-driven and contextually aware.