Background

Organizations are increasingly relying on AI-enabled technologies in their hiring practices as efficacy of traditional hiring methods has been questioned and their costs have inflated. Increased data availability and enhanced computing capacities have further enabled the use of algorithmic hiring. As the use of AI in hiring has increased, so have the Diversity, Equity, and Inclusion (DEI) concerns surrounding this practice. In fact, much normative and empirical research has highlighted the DEI issues associated with algorithmic hiring, particularly with respect to women, minorities, and under-represented groups. To counter these issues, some have recently offered human-machine systems as a potential remedy with the assumption that human-machine systems outperform both humans and machines, and mitigate any DEI concerns around algorithmic hiring. 

Objectives 

In light of these developments, we offer a dedicated forum to (a) chronicle the increasing use of AI in hiring including in recruitment, assessment, selection, and interviewing; (b) identify and discuss DEI concerns surrounding algorithmic hiring through a critical analysis of normative and empirical research and practice oriented perspectives; and (c) examine the challenges and opportunities that human-machine systems might offer in exacerbating and mitigating the DEI concerns associated with algorithmic hiring.

Participation

If you are an academic who teaches or conducts research on AI, human-machine systems, DEI, future of work, or human resources, or a practitioner or graduate student who shares these interests, you are welcome to participate in this interactive presentation forum.

Participation in this forum requires a full conference registration. Please register at https://aaai.org/aaai-conference.

Co-chairs

Dr. Pooria Assadi, Assistant Professor of Management and Organizations, College of Business, California State University, Sacramento

Dr. Nima Safaei, Senior Data Scientist, Scotiabank, Toronto, Canada