New machine learning techniques offer a promising way for organizations to predict employee success without compromising fairness to applicants.
New research finds that an AI chatbot can infer someone’s personality. What are the implications for the future of employee selection?
Background information in asynchronous video interviews can lead to bias in the employee selection process.
Many organizations are now conducting job interviews with a video interface that records answers for later evaluation. Are these “asynchronous” methods fair to job applicants?
New research investigates score differences on cognitive ability tests when taken by mobile versus non-mobile users.
New research shows that fast-paced simulation assessments may be a valid selection method to predict future job performance, but only under specific conditions.
Organizations are increasingly relying on computers to assess job candidates. Do the psychometric properties of these methods support their use?
Researchers compare different ways to assess personality, specifically in regards to employee selection testing. Interestingly, third-party assessments beat self-reporting.
New research shows how the diversity of search committees is associated with a more diverse group of job applicants. Why does this occur?
Researchers find that people from working-class backgrounds have a different experience when searching for jobs compared to people from upper-class backgrounds.
