A Multilevel Responsible Artificial Intelligence Approach

The complexity of integrating AI into work and organizations, including the robustness and validity of AI-powered applications for HRM practices, poses significant challenges. Interdisciplinary researchers studying technologies and work stress the need to examine the dynamic manifestations of these phenomena at different levels and within increasingly complex institutional contexts characterized by conflicting values, norms, and behaviors. Proactive measures are being taken at multiple levels to ensure that AI deployment is more ethical, often referred to as Responsible AI (RAI). This chapter, drawing on original research findings, discusses RAI activities at macro (analysis of RAI guidelines), meso (evaluation of AI for HRM vendor solutions), and micro (assessment of RAI competencies) levels. It raises awareness and highlights the importance of level-by-level and cross-level analysis in understanding and implementing ethical AI practices in HRM.