To hire the right job candidate, humans and machines should clear up this simple miscommunication

Nearly every Fortune 500 company now uses some form of artificial intelligence to help them hire the best talent by screening resumes or analyzing test performance. But these AI hiring tools are probably spitting out worse candidates than hiring managers expect, according to new research from Professors of Management Heng Xu and Nan Zhang. 

The weakness comes down to a simple case of human-machine miscommunication: The AI thinks it is picking someone to hire, but the hiring manager just wants a list of promising candidates to interview.

Read more about the new algorithm Xu and Zhang developed that accounts for the realities of the hiring process in this story from UF News.