There's no potential danger of AI discrimination — 'it's here'
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Bias in AI: The Reality Check
This chapter explores the evolution of computer vision and machine learning, focusing on the gap between AI theory and its real-world applications. It highlights the author's research on gender classification, revealing biases in training data that favor male and lighter-skinned faces, and raises critical questions about the fairness of AI systems. The discussion underscores the urgent need for accountability in AI development to address systemic issues that disproportionately affect marginalized communities.
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