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Addressing Bias in AI


AI Ethics and Data Privacy

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Unit Summary

AI systems are often viewed as objective, but they're only as unbiased as the data they learn from.
Algorithmic bias, evident when a facial recognition system misidentifies certain ethnicities, can have harmful repercussions.
It's essential to use diverse training data, regularly test the AI system for fairness, and actively correct biases.
With vigilance and understanding, we can work towards equitable AI systems.

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