Date Posted: 12/03/2019

New research from a CIS team that includes Tisch University Professor of Computer Science and Interim Dean of CIS, Jon Kleinberg; IS Assistant Professor Solon Barocas; IS Assistant Professor Karen Levy, and CS Ph.D. candidate Manish Raghavan “raises questions about … algorithms and the tech companies who develop and use them: How unbiased is the automated screening process? How are the algorithms built? And by whom, toward what end, and with what data?” In his article for the Cornell Chronicle, “Are Hiring Algorithms Fair?,” Lou DiPietro finds the CIS team concluding: “they’re too opaque to tell.”

Manish Raghavan, first author of the paper “Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices,” to be presented in January at the Association for Computing Machinery Conference on Fairness, Accountability and Transparency, remarks: “I think we’re starting to see a growing recognition among creators of algorithmic decision—making tools that they need to be particularly cognizant of how their tools impact people.”

Read the rest of the story at the Cornell Chronicle.

Read the CIS team’s article “Mitigating Bias in Algorithmic Employment Screening.”

Read Patrick Thibodeau's article on the CIS team, "Cornell researchers call for AI transparency in automated hiring."

Read more about Cornell-based initiatives and faculty addressing ethics and digital life.