Understanding AI’s Unseen Biases: The Consequences in Tech and Society
Artificial Intelligence has revolutionized many sectors, yet its biases can lead to flawed outcomes, especially for marginalized communities. Recent reports highlight alarming trends in AI implementations:
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Dermatology App Limitations: Google’s dermatology app misclassifies darker skin tones due to a training dataset comprising only 3.5% images from people of color, potentially causing misdiagnoses.
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Biased Algorithms: Research reveals that AI can infer sexual orientation from images, while tools like COMPAS and PredPol exhibit racial biases in legal and policing contexts, respectively.
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Facial Recognition Issues: Well-known algorithms from Google and Amazon show significant misidentification rates for black individuals, emphasizing a lack of inclusivity in tech design.
These examples reflect a pressing need for ethical frameworks in AI development.
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