A company uses an AI system to automatically sort job applications.

The AI should identify the best candidates more quickly.

It analyzes resumes, grades, experience and many other data points.

The better everything fits together, the higher the application is rated.

After some time, something strange becomes clear:

Many highly successful employees would have been rejected by the AI.

The system mostly prefers “perfect” resumes.

Question:
Why can an AI that searches for the best applications overlook the most interesting candidates?

Solution will be unlocked tomorrow.