A new algorithm aims to assess the likelihood of defendants being treated unfairly in court. The tool considers details that ought to be immaterial to the ruling — such as the judge’s and defendant’s ...

Zalis is a pioneer for online research, movement leader, and champion of gender equality. She is an internationally renowned entrepreneur, speaker, mentor, and CEO of The Female Quotient. In our ...

(THE CONVERSATION) In 1998, I unintentionally created a racially biased artificial intelligence algorithm. There are lessons in that story that resonate even more strongly today. Facial recognition ...

Algorithms were supposed to make our lives easier and fairer: help us find the best job applicants, help judges impartially assess the risks of bail and bond decisions, and ensure that health care is ...

Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

Algorithmic bias is everywhere. Our work with dozens of organizations—healthcare providers, insurers, technology companies, and regulators—has taught us that biased algorithms are deployed throughout ...

Artificial intelligence has become a popular tool for job recruiters, in part because programmers can code applicant-screening algorithms to avoid any explicit discrimination in their decision-making ...

Photo: Source: John MacCormick, CC BY-ND In 1998, I unintentionally created a racially biased artificial intelligence algorithm. There are lessons in that story that resonate even more strongly today.

New research by Questrom’s Carey Morewedge shows that people recognize more of their biases in algorithms’ decisions than they do in their own—even when those decisions are the same Algorithms were ...