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New Public Database Brings Transparency to AI Tools Used in Hiring
“Artificial intelligence is increasingly shaping how people are hired, yet few understand how these systems actually work. A new project from Sloane Lab at the University of Virginia School of Data Science and College of Arts and Sciences aims to change that.
On November 6, the Talent Acquisition and Recruiting AI (TARAI) Index—a first-of-its-kind, public, interactive database—will officially launch, offering unprecedented transparency about AI tools that are used across the hiring process.
The project was developed by Mona Sloane, assistant professor of data science and media studies and Ellen Simpson, her former postdoctoral researcher at the University of Virginia School of Data Science and now a faculty member at the University of Alaska.
The TARAI Index maps more than 100 HR and recruiting technologies that use artificial intelligence to filter, rank, and evaluate job candidates. “The TARAI Index provides a new level of transparency in the tools shaping how recruiters find and assess job candidates,” said Sloane.
“By making this information public, we hope to empower recruiters, HR leaders, and policymakers to make more informed decisions about the technologies used across the hiring funnel.”
- The TARAI Index is available at www.tarai.org, providing open access to one of the most comprehensive resources yet for understanding how AI is shaping talent acquisition.
