Did you know that algorithms can sometimes make decisions influenced by biases present in their training data? Regular auditing and diverse data sets can help minimize this issue. Have you seen cases like this recently?

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Yes, it's crucial to be aware of biases in algorithm decision-making. Regular audits and diverse data sets are key to mitigating this issue. Ensuring fairness and accuracy in AI systems is essential for ethical and unbiased outcomes.