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.
Nieman Journalism Lab

Want to fight misinformation? Teach people how algorithms work

In an era dominated by social media, misinformation has become an all too familiar foe, infiltrating our feeds and sowing seeds of doubt and confusion. With more than half of social media users across ...
Analytics Insight

Future of Algorithms: AI,Automation, and Emerging Technologies

Overview: Artificial intelligence allows algorithms to learn patterns and make smart decisions without fixed ...
Scientific American

Algorithms Are Making Important Decisions. What Could Possibly Go Wrong?

Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study shows how ...