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The human factor is crucial in the development of artificial intelligence. The ability to learn from data and make predictions is a fundamental aspect of machine learning algorithms. However, these algorithms are only as good as the data they are trained on. If the data contains biases or errors, the resulting models will also contain those same biases. This is where human intervention becomes necessary. Humans must ensure that the data used to train AI systems is accurate and unbiased, a task that requires great attention to detail.