Human–AI Collaboration in HR: Redefining Roles and Responsibilities in the Digital Workplace

Abstract

The rapid digital transformation of organizations has significantly accelerated the adoption of artificial intelligence (AI) in human resource (HR) functions. This integration equips HR professionals with new roles, supported by AI-driven decision-making, automation, and workforce optimization. These evolving roles demand a blend of human expertise and technological skills. Understanding how human-AI collaboration enhances HR processes, performance, and future applications is crucial in the modern workplace. This study examines the impact of human-AI collaboration on HR effectiveness, role transformation, ethical concerns, and adoption willingness, while also exploring how professional experience influences perceptions of AI integration. A descriptive, quantitative research design was employed, using a structured questionnaire administered to 350 HR professionals across various sectors. The instrument measured five key constructs: Human-AI Integration, Efficiency and Performance Enhancement, Role and Responsibility Impact, Challenges and Ethical Considerations, and Future Perspectives and Adoption Intention. Data were analysed using descriptive statistics, correlation analysis, multiple regression, and one-way ANOVA.

Findings indicate that HR professionals largely agree on AI's beneficial impact on efficiency, performance, and the future of the profession. Human-AI integration and efficiency enhancement were the strongest predictors of adoption intentions. However, ethical risks and implementation obstacles remain significant concerns, negatively influencing perceptions. Experience-based differences revealed that more seasoned professionals view AI integration more positively.

HR is evolving into a more strategic, analytical, and human-oriented field through human-AI collaboration. While AI offers substantial benefits, successful adoption hinges on addressing ethical concerns and ensuring organizational preparedness. Sustainable collaboration requires enhancing digital competence, developing robust governance frameworks, and fostering a responsible approach to AI integration.

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