Artificial Intelligence for Recruitment and Selection: Opportunities, Challenges, and Human Impact

Éditeurs invités

  • Michela Cortini, University G. d'Annunzio of Chieti – Pescara
  • Teresa Galanti, University G. d'Annunzio of Chieti – Pescara
  • Marco Giovanni Mariani, University of Bologna

Synthèse

This special issue examines how artificial intelligence is transforming recruitment and selection practices in organizations. While AI technologies such as automated screening, video interview analytics, and generative AI tools offer efficiency gains, they simultaneously raise critical concerns regarding fairness, transparency, accountability, and ethics. The collection seeks contributions that explore both the opportunities and challenges of AI-mediated selection from multiple perspectives.

The special issue invites theoretical, empirical, methodological, and review contributions addressing the human-AI interface in recruitment and selection. Research should consider how AI affects applicants' and recruiters' experiences, perceptions of procedural justice, and organizational attractiveness. The editors particularly welcome work bridging theory and practice to help organizations implement AI-enabled selection responsibly and effectively.

Thèmes proposés

  • Applicants' and recruiters' motivational and emotional reactions to AI
  • Algorithmic decision-making and perceptions of fairness, trust, and justice
  • Transparency, explainability, and human oversight in selection
  • Human-AI collaboration in personnel selection
  • AI-enabled game-based and adaptive assessment methods
  • Bias mitigation and diversity enhancement in AI recruitment
  • Ethical, legal, and regulatory perspectives on AI in hiring
  • Motivational theories in AI-mediated selection
  • Impact of AI on recruiters' professional identity and autonomy
  • Generative AI in employer branding and recruitment marketing
  • Methodological innovations for studying AI-human interaction
  • AI influence on candidate experience and authenticity
  • Development and validation of AI-supported assessment tools