Facial recognition itself is a technology—it’s not inherently racist. However, the way it is developed, trained, and deployed can lead to biased outcomes, which is why concerns about racism and discrimination arise. Here’s a careful breakdown: 1. How bias can occur Facial recognition systems use AI trained on large datasets of faces. Problems arise if: • The dataset is unbalanced, containing mostly faces of one ethnicity. • Algorithms are tuned for certain facial features more than others. Result: The system may misidentify or fail to recognize people of underrepresented ethnic groups, even though it works well for the majority group in the dataset. 2. Evidence from research Several studies, especially in the US, have found: • Higher error rates for darker-skinned individuals, particularly women. • Some commercial facial recognition tools misidentify Black people 10–100 times more often than white people in certain tests. • Misidentifications have led to wrongful arrests and discr...
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