Lack of Diversity in AI Leads to Biased Systems; Increasing Representation Could Make Technology Safer
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Artificial intelligence can encode biases if the data it's built on is flawed, leading to issues like false arrests and stereotyping.
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There is a lack of diversity among AI researchers and developers, with very few Black professionals in the field.
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Unequal access to computer science education for students of color starts early and continues into college.
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Increasing racial diversity in AI could make the technology safer and more ethical.
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Mitigating bias requires not just racial diversity but diversity of thought from fields like sociology and law.