Time: 1pm – 2pm
Venue: Room 723, 7/F Cheng Yu Tung Tower, The University of Hong Kong
Speaker: Nina Baranowska (Postdoctoral Researcher, iHub: Interdisciplinary Research Hub on Digitalization and Society, Radboud University)
Algorithmic hiring refers to the use of artificial intelligence (AI) tools to select job candidates. In recent years, AI-driven systems have become increasingly popular in recruitment, as employers look for more efficient ways to manage the growing number of applicants. For instance, in Europe, while a corporate job posting in 2010 typically attracted around 120 applicants, that number has now risen to over 250. However, like other AI applications, algoritmic hiring can reinforce biases and create barriers to entry in the job market, leading to unfair hiring practices. For employers, this can in turn mean overlooking talented candidates.
The presentation will focus on the legal challenges that arise from the interplay between key European Union laws, namely the newly enacted AI Act, the General Data Protection Regulation (GDPR), and non-discrimination laws. It will also explore potential technological solutions that can help mitigate bias and promote fairness in algorithmic hiring, including the use of synthetic datasets, fairness metrics, and secure multiparty computation.
Dr. Nina Baranowska, LL.M. is a legal researcher at iHub: Interdisciplinary Research Hub on Digitalization and Society, Radboud University, the Netherlands. Her research expertise focuses on the challenges of AI and digital technologies, with a particular interest in data protection, non-discrimination law, and product liability. She has pursued her research interests in new technologies through national and international research projects, as well as awarded scholarships at renowned research centers. Nina currently works as a researcher in the interdisciplinary and EU-wide project FINDHR (Fairness and Intersectional Non-Discrimination in Human Recommendation), funded by the Horizon Europe programme, where she conducts legal research on non-discrimination and data protection aspects of algorithmic hiring.
Moderator: Adrian Kuenzler, Associate Professor and Deputy Director, Law and Technology Centre, The University of Hong Kong Faculty of Law
To register, please go to https://hkuems1.hku.hk/hkuems/ec_regform.aspx?guest=Y&UEID=98615.
For inquiries, please contact Ms. Grace Chan at / 3917 4727.