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Explainable AI Governance

Without explainability, AI decisions can appear arbitrary, raising concerns about accountability. Organizations must implement governance structures to oversee AI systems, ensuring they can explain decisions made by these technologies. Establishing committees or boards to inspect AI behavior and improve transparency is crucial, as it prevents blind acceptance of AI outputs and fosters trust in automated processes.