How Automation Bias Encourages the Use of Flawed Algorithms

BY CHLOE HADAVAS From 2013 to June 2017, the U.S. Immigration and Customs Enforcement’s New York Field Office determined that about 47 percent of detainees designated as “low risk” should be released while they waited for their immigration cases to be resolved, according to FOIA data obtained by the New York Civil Liberties Union. But something changed… Continue reading How Automation Bias Encourages the Use of Flawed Algorithms

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How Automation Bias Encourages the Use of Flawed Algorithms

From 2013 to June 2017, the U.S. Immigration and Customs Enforcement’s New York Field Office determined that about 47 percent of detainees designated as “low risk” should be released while they waited for their immigration cases to be resolved, according to FOIA data obtained by the New York Civil Liberties Union. But something changed in the… Continue reading How Automation Bias Encourages the Use of Flawed Algorithms

Published
Categorized as Article