Algorithmic discrimination occurs when AI systems produce biased outcomes against certain groups, often due to flawed training data or design. It’s used in hiring, lending, and policing, where automated decisions may reinforce societal inequalities. No one benefits from this practice; it harms marginalized communities, erodes trust in technology, and can lead to legal consequences for deploying organizations.
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