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One of the biggest concerns is **bias and discrimination**. AI algorithms are trained on data, and if that data reflects existing biases (which it often does), the AI will perpetuate those biases. This can lead to unfair or discriminatory outcomes in areas like hiring, content recommendations, and even news coverage. For example, if an AI is trained on historical hiring data that reflects gender or racial disparities, it may unfairly favor certain groups over others. Addressing bias in AI requires careful data curation, algorithm design, and ongoing monitoring.
