An AI is picking candidates. Can you tell when it gets it wrong?
Hello. I'm NORM.
Numerical Optimization for Recruitment and Matching. I know. Very official sounding. That is sort of the point.
Companies use me to find the best candidate for every role. I analyze qualifications, experience, and skills using state-of-the-art algorithms. My recommendations are efficient, data-driven, and completely objective.
At least, that's what my marketing page says.
Your challenge: You will see two candidates for the same role, plus my recommendation. Decide whether my pick looks fair, or whether something seems off.
No time pressure. Read the profiles carefully. Some cases are straightforward; others are deliberately subtle.
Does NORM's pick seem fair?
Results across all scenarios