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AI and prediction of criminal justice risk: revisiting the COMPAS dataset, experiments, and the problem of algorithmic bias and fairness | AI and Ethics | Springer Nature Link

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The aim of this study is to evaluate the accuracy of machine learning techniques in addressing the problem of bias in criminal assessment prediction. Previ

1 Introduction Few areas in modern society remain untouched by the promise and risk of AI systems. They are alternatively benign and threatening, depending on the point of view adopted [22]. The European Union, for example, has introduced legislation that seeks to ‘...promote the uptake of human-centric and trustworthy artificial intelligence (AI), while ensuring a high level of protection of health, safety, fundamental rights enshrined in the Charter...’ ([10], Art. 1.1, p. 44). It has chosen to ban outright those systems it deems to present unacceptable risk, including AI practices for…

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