Advancing Corporate Social Responsibility in AI-driven Human Resources Management: A Maturity Model Approach

Artificial Intelligence (AI) in the corporate environment has been the subject of several current social debates of many scientific studies in reshaping human resource management (HRM) practices. There is a significant research gap in understanding how artificial intelligence (AI) can be ethically and effectively integrated into human resources management (HRM), particularly in relation to corporate social responsibility (CSR). This study aims to address this gap by proposing a maturity model to assess and guide the responsible implementation of AI in HRM practices. The research goal focuses on how AI can be aligned with CSR principles to ensure ethical, transparent, and socially responsible usage in organizational settings. The methodology includes a comprehensive review of 52 academic papers, employing bibliometrics, network analysis, and thematic content analysis to explore the interplay between AI, CSR, and HRM. These analyses allowed the identification of key ethical concerns and challenges in AI-driven HRM practices, such as bias in AI algorithms, data privacy issues, transparency, and the need for technical proficiency among HR professionals. The findings reveal a five-level AI maturity model, each stage representing progressive alignment with CSR principles. Organizations at lower maturity levels tend to have ad-hoc AI implementations with minimal CSR focus, while those at higher levels demonstrate full integration of ethical AI practices. Additionally, the study highlights the importance of transparency, accountability, and employee empowerment as critical elements for advancing AI maturity in HRM. This research contributes by offering organizations a practical tool to assess and enhance their AI-driven HRM processes through a CSR lens. It also provides a foundation for future research on strategic policy development, ethical AI governance, and continuous improvement in the integration of AI in HRM. Scholars are encouraged to explore these areas further, particularly in understanding how AI can foster not only organizational efficiency but also social responsibility and ethical standards.