September 10, 2025

Discrimination in AI-Driven HRM Systems: Ethical Implications and Solutions

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Research uncovers bias issues in AI HRM systems and suggests solutions for ethical transparency and fairness.

AI in HRM systems can perpetuate discrimination based on race, gender, and age, negatively affecting fairness.
Key factors such as biased training data and lack of transparency contribute to ethical challenges in AI HRM systems.
The study proposes diverse datasets and auditing mechanisms to address discrimination and promote equity in hiring.
Implementing solutions can enhance accountability in AI-driven human resource practices, ensuring fair treatment.

Pavlović et al. (2024) studied this question.

View Full Paper

Ask AI

Bookmark