Before deployment, AI systems should undergo rigorous testing specifically designed to uncover any gender biases. This involves both automated testing methods and human review processes that evaluate the AI's decisions across a wide range of scenarios for possible biases. Identifying and correcting biases at this stage is essential for preventing biased AI products from reaching the market.
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