Human–AI Governance in Project Management: A Concept-Centric Systematic Literature Review

Human-AI governance is becoming an essential aspect of artificial intelligence (AI) integration in project management settings. As AI technologies progressively assist in decision-making, automation, and predictive analytics, issues of transparency, accountability, trust, and ethical duty have emerged as pivotal in their deployment. Contemporary scholarship on human–AI governance is disjointed across technological, ethical, organisational, and governance spheres, hindering a cohesive comprehension of the governance of responsible AI in project settings. This research tackles this deficiency by conducting a concept-focused systematic literature assessment of peer-reviewed articles published from 2021 to 2026. Utilising a conclusive sample of 44 studies, selected from an initial pool of 124 studies found in Scopus, the review consolidates the literature into principal thematic domains such as governance frameworks, explainable AI, trust and transparency, human oversight, ethical decision-making, regulatory compliance, organisational integration, and socio-technical systems. The results suggest that successful regulation of human–AI interactions necessitates the amalgamation of technological skills with organisational frameworks, ethical standards, and human discernment. The research enhances existing literature by offering a systematic conceptual synthesis and emphasising the necessity for cohesive governance frameworks, multidisciplinary methodologies, and empirical verification in practical project settings