OpenAlex
metadata only
CC BY 4.0
Ethics and discrimination in artificial intelligence-enabled recruitment practices
Abstract This study aims to address the research gap on algorithmic discrimination caused by AI-enabled recruitment and explore technical and managerial solutions. The primary research approach used is a literature review. The findings suggest that AI-enabled recruitment has the potential to enhance
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice#679447
- Seven Guiding Questions for Reproducible AI-Assisted Research in the Social and Behavioral Sciences#444304
- Can HR adapt to the paradoxes of artificial intelligence?#686324
- Artificial Intelligence in Fashion Design and IPRS#163393
- TEDDY: Trimming Edges with Degree-based Discrimination strategy#405975
Record · ID 964356
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive