Bias in generative artificial intelligence algorithms risks producing systemic discrimination across sectors, from job recruitment to public services.

Independent algorithmic auditing firm Parity AI has partnered with talent acquisition and management platform Beamery to conduct ongoing scrutiny of bias in its artificial intelligence (AI) hiring ...

In recent years, employers have tried a variety of technological fixes to combat algorithm bias — the tendency of hiring and recruiting algorithms to screen out job applicants by race or gender. They ...

Algorithms are a staple of modern life. People rely on algorithmic recommendations to wade through deep catalogs and find the best movies, routes, information, products, people and investments.

Algorithms aren’t acting maliciously. They’re doing what they were built to do. That’s why algorithmic bias in marketing is an ownership issue and a leadership concern.

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 ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

Despite some progress, gender discrimination in hiring remains a challenge. Women are judged more harshly than men, with a broad assumption of less competence. Only 15 percent of CEOs at Fortune 500 ...