Algorithmic discrimination occurs when automated systems produce biased outcomes against certain groups, often due to flawed data or design. It’s used in hiring, lending, and policing, where algorithms replicate societal inequalities. No one benefits ethically, but organizations may gain short-term efficiency or cost savings while perpetuating harm, necessitating regulatory oversight.
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