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Artificial intelligence (AI) systems have the ability to autonomously learn and make decisions, mimicking human intelligence. However, this progress raises important ethical issues, such as privacy and data protection, algorithm bias, and the impact of AI on employment. Algorithm bias is a significant threat to fairness and justice, as it can lead to discrimination and unfair treatment. To address this issue, robust methods must be developed to detect and mitigate biases during the design and training phases of AI systems, as well as increasing transparency and accountability within AI development.
