Your job rejection may have been an A.I. mistake—how to spot and fix it


AI already had an impact on job seekers in 2015, even before the emergence of ChatGPT. Amazon discovered that its machine-learning algorithms were biased against women, causing them to exclude resumes with the word “women’s” in them. This resulted in the replication of pre-existing gender inequalities. 

The Equal Employment Opportunity Commission now provides guidance for employers to prevent AI from compromising fair hiring processes. The problem of hiring bias is not new, and some groups have been unjustifiably left out of job pools for some time.

 Legislators in some regions, such as New York City, create policies to regulate AI's blind spots, but technology always seems to be ahead of legislators. Although there may be errors that AI can make, job seekers who feel they have been unjustly turned down can try to contact the hiring company to resolve the situation. Legal advice may be useful in some cases, but the US legal system is still uncertain about how to work with AI discrimination. 

Post a Comment

Previous Post Next Post