Psychology

Data science

Novelty

Social psychology

Engineering

Artificial intelligence

Selection (genetic algorithm)

Extant taxon

Knowledge management

Evolutionary biology

Biology

Business ethics

Political science

Operating system

Foundation (evidence)

Public relations

Computer science

Process (computing)

World Wide Web

Sociology

Social science

Subject (documents)

Face (sociological concept)

Engineering ethics

Journal of Business Ethics

Companies increasingly deploy artificial intelligence (AI) technologies in their personnel recruiting and selection process to streamline it, making it faster and more efficient. AI applications can be found in various stages of recruiting, such as writing job ads, screening of applicant resumes, and analyzing video interviews via face recognition software. As these new technologies significantly impact people’s lives and careers but often trigger ethical concerns, the ethicality of these AI applications needs to be comprehensively understood. However, given the novelty of AI applications in recruiting practice, the subject is still an emerging topic in academic literature. To inform and strengthen the foundation for future research, this paper systematically reviews the extant literature on the ethicality of AI-enabled recruiting to date. We identify 51 articles dealing with the topic, which we synthesize by mapping the ethical opportunities, risks, and ambiguities, as well as the proposed ways to mitigate ethical risks in practice. Based on this review, we identify gaps in the extant literature and point out moral questions that call for deeper exploration in future research.

Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda