Automated job interviews and the implications for young jobseekers

Jaser, Zahira, Petrakaki, Dimitra, Starr, Rachel and Oyarbide-Magaña, Ernesto (2021) Automated job interviews and the implications for young jobseekers. Other. Policy@Sussex, Brighton.

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Abstract

The use of Artificial Intelligence (AI) in the hiring process has increased radically, especially during the pandemic. There is a growing demand among employers for video interviewing services offered by digital hiring platforms especially in recruiting young jobseekers. Whilst these new technologies intend to bring greater efficiency and objectivity into the hiring process, little is known about the impact that they might have on young job candidates. Our research explores these technologies from the perspectives of the ultimate users: young jobseekers. The emergent picture is one of opacity, complexity, and uncertainty. In this report, we illustrate how young jobseekers are affected by and draw attention to the lack of transparency they face during these AI-led experiences. We put forward a series of recommendations for employers, hiring platforms and policymakers.

Item Type: Reports and working papers (Other)
Schools and Departments: University of Sussex Business School > Management
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 02 Dec 2021 08:17
Last Modified: 02 Dec 2021 08:17
URI: http://sro.sussex.ac.uk/id/eprint/103190

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