Human-AI Collaboration in Decision-Making: Ethics, Trust, and Workforce Sustainability
DOI:
https://doi.org/10.63503/aisem.1Keywords:
Human–AI collaboration, ethical AI governance, Organisational trust, workforce sustainability, responsible AI, decision-makingAbstract
As organisations use artificial intelligence in decision-making, the focus has moved from just using technology to managing how people and AI work together. This management is crucial for maintaining trust and ensuring sustainable workforce performance in the future. This research proposes and empirically tests a
comprehensive model linking human-AI collaboration quality, ethical AI governance, organisational trust, workforce sustainability, and AI transparency, the latter being examined as a boundary condition. Based on survey data from 480 professionals in AI-enabled organisations and analysed using Partial Least Squares Structural
Equation Modelling, the findings indicate that enhanced collaboration quality significantly strengthens ethical AI governance, which in turn has a profound positive impact on organisational trust and workforce sustainability. The direct effects of collaboration quality on trust and sustainability are non-significant, indicating that governance serves as an intermediary, exerting only indirect influence. The results show that AI transparency does not have any significant direct or moderating effect on workforce sustainability; thus, transparency alone is insufficient unless
integrated into enforceable governance frameworks. This study contributes to the field of human-centric AI research by introducing ethical governance as an institutional mediating factor between sustainable organisational performance and collaborative AI practices. It offers practical recommendations for the implementation of governance in AI.
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