If you’re a human resource specialist grappling with AI-based decision systems for hiring good candidates, or a data scientist trying to develop transparent and accountable ranking algorithms for decision-making in critical socio-technical contexts, you will likely benefit from the research of Aritra Dasgupta, an assistant professor in the Department of Data Science at NJIT’s Ying Wu College of Computing.

Dasgupta is the recipient of two collaborative National Science Foundation (NSF) grants totaling approximately $2.8 million (out of which NJIT’s funding is $860,000) from the Information and Intelligent Systems (IIS) and the Future of Work (FW-HTF) programs. The IIS grant ($400K) will fund the development of human-in-the-loop techniques for data scientists to transparently design and validate algorithmic rankers in critical areas like educational program admissions, hiring and institutional rankings. The FW-HTF grant is for an interpretability-by-design framework named Trapeze ($460K) that helps HR specialists in their meticulous balancing act of talent acquisition. To read the full story.