Ethical Considerations For Vertically Integrated Hiring Solutions Utilising Machine Learning Models
Moral dimensions and principles for ML-mediated recruitment workflows
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.
May 2026Read paper →