How a hiring algorithm is audited can disguise bias, study finds

Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant screening algorithms, Stanford researchers said.

Largest study of AI hiring algorithms to date finds ‘clear racial disparities’ — over 25% of Black applicants tainted by bias

A Stanford-led study of 4 million job applications reveals AI tools used by Fortune 100 companies systematically reject Black and Asian applicants.
Booth School of Business

A Hiring Algorithm That Isn’t Vulnerable to Biased Data

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 ...
Phys.org

When AI plays favorites: How algorithmic bias shapes the hiring process

A public interest group filed a U.S. federal complaint against artificial intelligence hiring tool, HireVue, in 2019 for deceptive hiring practices. The software, which has been adopted by hundreds of ...
Phys.org

AI-powered hiring process perceived as more fair when blind to race or gender

Job applicants can be suspicious of the hiring process if a company uses artificial intelligence to pre-screen candidates and facilitate hiring decisions, a Northeastern University expert says, but ...
Hosted on MSN

Largest study of AI hiring algorithms to date finds 'clear racial disparities' — over 25% of Black applicants tainted by bias

The most comprehensive independent study of AI-powered hiring algorithms ever conducted has found stark racial disparities embedded in the tools used to screen millions of job applicants, with more ...
The Conversation

When AI plays favourites: How algorithmic bias shapes the hiring process

A public interest group filed a U.S. federal complaint against artificial intelligence hiring tool, HireVue, in 2019 for deceptive hiring practices. The software, which has been adopted by hundreds of ...