This analysis highlights bias in AI impacting individuals, suggesting pathways for increased fairness.
AI is everywhere. But it’s not always fair. Through a student’s eyes, this paper shows how bias—gender, race, class, language—creeps into AI and affects real lives. It explores ways to make AI fairer, sparking thought, talk, and action.
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S.M. Nahiyan Rahman Akib Rahman (2026) studied this question.
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