In the realm of AI, model transparency refers to the clarity surrounding how an algorithm generates decisions. It involves open documentation of data, logic, and limitations. This practice builds user trust, enables developers to debug biases, and helps regulators ensure compliance. Ultimately, it empowers end-users to verify results, fostering accountability and safer deployment across industries.
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