If you’re looking for a job, chances are that you’re going to intersect with AI whether you like it or not. It’s become a standard piece of the hiring and interview process for many companies. So what does this mean about how your candidacy is perceived?

Co-Director Aylin Caliskan and PhD student Kyra Wilson published a piece in Brookings on how bias impacts candidates with varying race, gender and intersectional identities, in support of their new research paper.

In the article, the two highlight how greater regulation and auditing practices could help protect against discriminatory outcomes.

Read the full article here: https://www.brookings.edu/articles/gender-race-and-intersectional-bias-in-ai-resume-screening-via-language-model-retrieval/

Read the original research paper here: https://ojs.aaai.org/index.php/AIES/index