They can perpetuate discrimination from "summary" of Weapons of Math Destruction by Cathy O'Neil
Algorithms have the power to perpetuate discrimination. They are not unbiased or neutral; instead, they reflect the values and biases of their creators. When these algorithms are used in decision-making processes, they can reinforce and even exacerbate existing inequalities. For example, a hiring algorithm may be designed to filter out candidates based on certain criteria such as educational background or work experience. However, these criteria may disproportionately disadvantage certain groups, such as minorities or people from low-income backgrounds. As a result, the algorithm ends up perpetuating discrimination by systematically excluding these groups from consideration. Moreover, algorithms can also perpetuate discrimination by relying on flawed or biased data. If the data used to train an algorithm is itself biased, the algorithm will simply learn and replicate those biases. This can lead to discriminatory outcomes, such as disproportionately targeting or penalizing certain groups based on inaccurate or unfair data. Furthermore, the complexity and opacity of algorithms make it difficult to identify and address discriminatory practices. Many algorithms operate as "black boxes," meaning that their inner workings are hidden from scrutiny. This lack of transparency makes it challenging to hold algorithms accountable for their discriminatory actions or to challenge their decisions.- Algorithms have the potential to perpetuate discrimination through a variety of mechanisms, including biased criteria, flawed data, and lack of transparency. It is essential to recognize and address these issues in order to ensure that algorithms are used in a fair and ethical manner.
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