As the search for post-graduation jobs and summer internships heats up, Mona Sloane, assistant professor of data science and media studies, has created a new tool to explore how artificial intelligence is used in the hiring process.
Her lab — the Sloane Lab — launched the Talent Acquisition and Recruiting AI Index, a new database designed to bring greater transparency to how AI is used throughout the hiring process. Released Nov. 6, the index is the result of nearly five years of research, including an analysis of 100 widely used recruitment AI tools and insights from 100 interviews with recruiters.
Today’s job-seekers, University students included, are part of an evolving recruitment system, as companies test new tools and lawmakers consider new regulations. Sloane said the team conducted the research in order to help companies and recruiters have a better understanding of how AI can be used in the hiring process. Currently, Sloane said, complex AI systems can be intimidating to employees with little knowledge of how the systems work…