Integrating Machine Learning With Human Decision Making in HR

Traditional HR processes are being transformed through the integration of machine learning (ML), blending human intuition with intelligent systems. This integration enhances talent acquisition, operational speed, and decision-making, while preserving ethics and empathy. The research highlights how Human-Computer Interaction (HCI) and responsible AI foster transparency and trust. The “humans-in-the-loop” model empowers HR to oversee algorithmic decisions, ensuring fairness. Proper AI training and digital infrastructure, alongside staff development, are essential. The study outlines ML-HR associations, offering design guidelines for ethical, human-focused AI interfaces and adaptive work models. Real-world examples show how companies leverage AI to optimize operations, reduce costs, and build inclusive cultures without compromising fairness or integrity. This work guides ethical AI adoption in HR for efficient, human-centered systems.