"Markey combed through his application looking for a fatal flaw. He didn’t find anything he thought would prompt a residency program director to toss an otherwise competitive application, so his suspicion turned to another culprit. He’d heard rumblings that some hospitals were using a free AI screening tool to help process applications—and that it had been displaying incorrect grades for some students. He began to wonder whether AI was responsible for his lack of interview offers.
On the first page of his Medical Student Performance Evaluation, a comprehensive summary of his early career prepared by his school, Markey spotted language that he suspected might trigger an automated screening tool to downgrade his application. The MSPE stated that Markey had “voluntarily” taken three separate leaves of absence, totaling about 22 months, and had chosen to extend his third year of coursework over two years for “personal reasons.”
That wasn’t quite true. In 2021, Markey was diagnosed with ankylosing spondylitis, an autoimmune disease that affects the spine and could flare up to the point where he couldn’t stand, much less do the intensive physical work expected of medical students during clinical rotations. He was on track to graduate from medical school in seven years, rather than the typical four, but his absences had been unavoidable and medically necessary. This was explained in a narrative paragraph on the first page.
Calling the absences “voluntary,” Markey felt, might be interpreted as evidence that he had succumbed to the pressure of medical school and not been able to keep up with his studies.
As the days went on, Markey said, he felt increasingly afraid that his years of training would end in failure.
(...)
He was asking himself the same question that pops into the minds of millions of other job seekers every day: Did an AI trash my application?"
https://www.wired.com/story/he-couldnt-land-a-job-interview-was-ai-to-blame/








