Some AI algorithms, particularly complex ones like deep learning models, operate as "black boxes," making it difficult to understand how they arrive at their decisions. This lack of transparency and interpretability can raise concerns about accountability, as it becomes challenging to identify and address potential biases or unfairness in algorithmic outcomes.
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