Big data allows algorithms to more accurately generate outcomes. It is crucial in understanding complex relations among data for predictions. Mayer-Schonberger and Cukier highlight big data's significance in quantifying the world.
Bias in AI stems from human biases in designing systems. Facial recognition bias was evident in 2018 with significant error rates for dark-skinned women in commercial systems.
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