Algorithmic audits are systematic assessments of algorithms and their decision-making processes to evaluate their fairness, accountability, and transparency. These audits help identify potential biases or errors in AI systems, ensuring that they comply with ethical standards and legal regulations, particularly in high-stakes sectors like insurance and liability.
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