Automated decision making has become widespread in recent years, largely due to advances in machine learning. As a result of this trend, machine learning systems are increasingly used to make decisions in high-stakes domains, such as employment or university admissions. The weightiness of these decisions has prompted the realization that, like humans, machines must also comply with the law. But human decision-making processes are quite different from automated decision-making processes, which creates a mismatch between laws and the decision makers to which they are intended to apply. In turn, this mismatch can lead to counterproductive outcomes.<\/p>\n","protected":false},"excerpt":{"rendered":"
Automated decision making has become widespread in recent years, largely due to advances in machine learning. As a result of this trend, machine learning systems are increasingly used to make decisions in high-stakes domains, such as employment or university admissions. 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