Bias And Discrimination
Bias and discrimination refer to the unfair treatment of individuals or groups based on certain characteristics such as race, gender, age, or religion. In the context of data science and artificial intelligence, bias and discrimination can occur when algorithms are trained on biased data or when the data used to train the algorithms reflects historical patterns of discrimination. This can result in biased decisions and perpetuate discrimination in areas such as hiring, lending, and criminal justice. It is important to identify and mitigate bias and discrimination in data and algorithms to ensure fairness and equity in decision-making processes.
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