Title

Ethical Considerations For Vertically Integrated Hiring Solutions Utilising Machine Learning Models

Description

This academic work examines moral dimensions arising when ML models span the entire recruitment workflow. Rather than offering technical solutions, the paper concentrates on principles and potential harms relevant to practitioners when algorithms mediate employment access. The authors contend that ethical implementation demands persistent consideration of impartiality, openness, candidate respect, responsibility, data protection, human involvement, and regular evaluation.

Resource type

Research Paper

Resource language

English

Date created

May 2026

Contributors