Algorithmic fairness refers to the concept that algorithms, particularly those used in decision-making processes, should be designed to avoid bias and ensure equitable treatment for all individuals, regardless of their background. This principle is essential in addressing ethical concerns surrounding the deployment of technology in policing, where biased algorithms can lead to discriminatory outcomes and reinforce societal inequalities.
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