After months of delays, New York City today began enforcing a law that requires employers using algorithms to recruit, hire or promote employees to submit those algorithms for an independent audit -- ...

Artificial intelligence algorithms used for hiring show a bias for men over women, according to a new study from the University of Melbourne. The researchers provided resumes to 40 recruiters for data ...

When the tech company Linda works for announces an AI tool that can filter thousands of résumés in minutes and assign candidates scores based on qualifications, she’s excited that it’ll make her job ...

New research 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 supposed to make our lives ...

Understanding bias in hiring algorithms and ways to mitigate it requires us to explore how predictive technologies work at each step of the hiring process. Though they commonly share a backbone of ...

In today's accounting profession, where talent shortages and remote work have reshaped recruiting, companies in many sectors are increasingly turning to artificial intelligence to streamline hiring.

Hiring has always been an inexact science. Traditionally a laborious, inefficient, and only occasionally effective enterprise, it is a quintessentially human process. That isn’t exactly a compliment.

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 ...