4 Ways to Mitigate Bias in AI and Close the Diversity Deficit

Feed a prompt to an AI image generator and you’re bound to encounter an insidious pattern: Do the people look … too stunning? Perhaps even wanton? Gender, race, body type, nationality, religion—you’re almost guaranteed to get prejudiced and outdated stereotypes when using these descriptors in prompts. And “wanton” is a deliberate adjective; it’s mostly used pejoratively toward women, and AI tends to oversexualize female images. These glaring imbalances showcase a recurring problem with AI outputs: the replication of societal biases, which can be harmful to actual people and communities. I wrestled with…

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