An ongoing concern is whether current strategies for mitigating AI bias genuinely address the root of the problem for women in tech or if they merely act as tokenistic gestures. Tokenism, or superficial measures designed more for appearances than for effecting real change, can perpetuate stereotypes and limit opportunities for women. Effective strategies must thus move beyond superficial fixes to enact substantive, systemic changes in how AI technologies are designed, developed, and deployed, ensuring women's perspectives and needs are integral to the process.
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