Algorithmic accountability means organizations take responsibility for decisions made by AI and automated systems, including outcomes that affect individuals. It requires documentation of how algorithms are designed and trained, regular auditing for bias and accuracy, mechanisms for individuals to challenge automated decisions, and governance structures that assign human oversight of high-stakes AI outcomes.
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