Achieving gender-neutral algorithms requires intentional effort, including diversifying training data, employing gender-inclusive design principles, and regularly auditing algorithms for bias. By prioritizing these actions, the tech community can move towards systems that serve all genders equally, without perpetuating harmful stereotypes.
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