AI transparency refers to the clarity and openness of how artificial intelligence systems make decisions. It is implemented through explainable algorithms and auditable data practices, allowing users to understand outcomes. This approach benefits developers by improving trust, regulators by ensuring compliance, and end-users by fostering accountability and reducing bias in automated processes.
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