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The application of abstract mathematical theories to mitigate against racial and gender bias in AI
Current image recognition technologies are highly susceptible to historical bias, including data sets that lack proper representation for people of color, the individual prejudices of engineers, and mere oversights in inclusivity. However, as these technologies become further integrated into our society, these issues are becoming increasingly dangerous.
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