Foundations of Data Science
Algorithmic auditing is the process of systematically reviewing and evaluating algorithms to ensure they operate fairly, transparently, and without bias. This practice aims to identify potential ethical concerns, biases, and inaccuracies in algorithmic decision-making, which is increasingly relevant in contexts like AI and machine learning. By performing these audits, organizations can promote responsible AI practices and make informed decisions about technology deployment.
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