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As AI takes the helm of decision making, signs of perpetuating historic biases emerge tucsonsentinel.com/nationworld
An experiment aimed to simulate how financial institutions are using AI algorithms shows that while they have the potential to lower operating costs, there’s also large potential for flawed training data, programming errors, and historically biased information to affect outcomes.

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