NOTE: This edition of KINTalks is a hybrid event, during your registration you can opt-in to join the event either in-person or online!

At Randstad, the global leader in the HR services industry, searching and matching is at the heart of what we do. Being founded in 1960, We know from our heritage that real connections are not made from data and algorithms alone – they require human involvement. Last year, we helped more than two million job seekers find a meaningful job by combining industry-scale recommender and search systems with our distinct human touch. While many opportunities exist, employing AI in recruitment and HR is considered high-risk by the European Commission’s proposed regulatory framework on AI, which will bring additional requirements, obligations, and constraints.

In this hybrid talk, I will explain some of the characteristics of, challenges, and opportunities in the HR domain from an AI perspective. I will share some of our own work in recommendations, algorithmic matching, algorithmic bias and knowledge graphs, and highlight some of the ongoing research in this domain.

David Graus is lead data scientist at Randstad Groep Nederland, where he leads the data science chapter with over a dozen data scientists who work on a wide variety of projects including recommender systems, information extraction from resume and vacancy data, and knowledge graphs. Prior to joining Randstad David worked on news recommendation at the FD Mediagroep, a Dutch media company that owns a newspaper and radio station. He obtained his PhD in Information Retrieval in 2017 at the University of Amsterdam, where he worked on semantic search and computational methods for automated understanding of large-scale textual digital traces under supervision of prof. dr. Maarten de Rijke.