Exploring Bias in AI: How Can We Overcome It?
Briefly

Voice recognition and AI systems exhibit biases in gender and racial recognition. Studies show women's voices are recognized with lower accuracy, and racial disparities exist in word error rates.
Automatic caption generators have shown higher error rates for women and varied accuracy based on dialect. AI discriminates based on names, affecting job prospects and residence applications.
Read at Exchangewire
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