Medical Student Investigates AI Bias in Job Applications

A medical student, unable to secure a job interview, spent six months investigating whether an AI algorithm was responsible for rejecting his application. Using Python programming and a sense of injustice, he analyzed the hiring process to determine if automated systems discriminated against him. The investigation highlights growing concerns about algorithmic bias in employment, particularly in screening tools used by companies. The student's findings suggest that AI-driven hiring platforms may inadvertently filter out qualified candidates based on flawed criteria or biased training data. This case underscores the need for transparency and fairness in AI-assisted recruitment.