Human Resources (HR): What could go wrong in AI-driven hiring?
Imagine this: an applicant submits a résumé so polished it could have been written by a seasoned recruitment consultant. Meanwhile, on the other side of the table, a hiring system scans it – not a person, but an algorithm trained on thousands of past hires. The system flags keywords, patterns and styles it “likes”, and … Read more