Algorithmic recommendations learn human biases from decisions, perpetuating societal biases. They can reveal structural biases, aiding individuals in recognizing and correcting biases within themselves.
Research shows algorithmic bias impacts ratings by revealing participants' biases and influencing their judgments based on irrelevant factors like age, gender, and race.
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