They are not always fair from "summary" of Weapons of Math Destruction by Cathy O'Neil
Mathematical models are often thought to be objective and fair, free from human bias or prejudice. However, the reality is that these models are created by fallible humans who bring their own biases and assumptions into the process. As a result, these mathematical models can perpetuate and even exacerbate existing inequalities and injustices in society. One of the key reasons why mathematical models are not always fair is because they rely on historical data that may be biased or incomplete. For example, if a model is trained on data that reflects discriminatory practices or societal stereotypes, it will likely produce results that are similarly biased. This perpetuates a cycle of inequality, as the model reinforces and legitimizes existing disparities. Furthermore, the complexity of mathematical models can make...
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