They can entrench prejudice from "summary" of Weapons of Math Destruction by Cathy O'Neil
When algorithms are designed with biased data or flawed assumptions, they can reinforce and perpetuate existing prejudices. This is because these algorithms rely on historical data to make predictions about the future, and if that data is tainted by discrimination, the algorithm will simply learn and replicate those biases. This can lead to a vicious cycle where biased outcomes are fed back into the system, further entrenching prejudice. For example, in the criminal justice system, algorithms that predict recidivism rates may use factors like zip code or family history, which can be proxies for race or socioeconomic status. This means that individuals from marginalized communities are more likely to be classified as high risk, leading to harsher sentencing or increased surveillance. As a result, these communities are disproportionately impacted by the criminal justice system, perpetuating the cycle of discrimination. Similarly, in the hiring process, algorithms that screen resumes may inadvertently discriminate against certain groups based on factors like name or educational background. If these algorithms are not carefully designed and tested for bias, they can inadvertently disadvantage qualified candidates from underrepresented communities. This not only perpetuates inequality in the workforce but also reinforces stereotypes and prejudices. Moreover, the opacity of these algorithms can make it difficult to identify and correct these biases. Since many algorithms are proprietary and shielded from public scrutiny, it is challenging to hold them accountable for their discriminatory outcomes. This lack of transparency can further exacerbate the problem, as it allows biased algorithms to operate unchecked and unquestioned.- The entrenchment of prejudice by algorithms is a serious and pervasive issue that requires careful attention and oversight. By understanding the ways in which algorithms can perpetuate bias and discrimination, we can work towards creating more equitable and just systems that benefit all members of society.
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