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They can exacerbate wealth disparities from "summary" of Weapons of Math Destruction by Cathy O'Neil

The use of mathematical models in various aspects of our lives has the potential to widen the gap between the wealthy and the poor. By relying on algorithms to make decisions about things like credit scores, job opportunities, and insurance premiums, we run the risk of perpetuating existing inequalities. These mathematical models can often be biased against certain groups, such as minorities or low-income individuals, which can further marginalize them and prevent them from accessing the opportunities they need to improve their financial situation. For example, if a credit scoring algorithm penalizes individuals who live in certain neighborhoods, it can prevent them from getting loans or credit cards, making it harder for them to improve their financial standing. Furthermore, the reliance on these mathematical models can create a feedback loop that reinforces existing wealth disparities. If individuals from disadvantaged backgrounds are consistently denied access to resources like loans or job opportunities because of biased algorithms, they are less likely to be able to improve their financial situation and break out of the cycle of poverty. In this way, the use of mathematically-driven decision-making tools can exacerbate wealth disparities by perpetuating existing inequalities and preventing marginalized individuals from accessing the opportunities they need to improve their financial situation. It is essential to be aware of these potential consequences and work towards creating more equitable and transparent systems for making important decisions that impact people's lives.
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    Weapons of Math Destruction

    Cathy O'Neil

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