Human-Ai Interface: Assessing The Role Of Explainable Ai (Xai) In Mitigating Knowledge Worker Resistance And Fostering Trust During Ai-Driven Business Process Automation
Aug 2026· Vol 3, pp. 20 - 35· 0 citations· 34 references
TL;DR
The study concludes that Explainable AI is not only a technological enhancement but also a strategic tool for promoting employee trust and supporting effective digital transformation and recommends that organizations prioritize explainability, invest in AI literacy and training, and develop transparent AI governance frameworks to encourage successful adoption of AI-driven business process automation.
A human centered communication framework is proposed that strengthens trust in AI assisted decision making while promoting more inclusive and responsible technology adoption and contributes to explainable AI research.
Dwi Apriliasari, Bintang Nandana Henry, Alexander Williams· Journal of Orange Technology· 0 citations
Overall, the study demonstrates that AI can be optimized in HR decision-making processes through ethical governance AI practices and human review, which includes the mediating role of ethical AI practices and the moderating role of human monitoring of AI-driven automated HR processes.
Manoj Varghese, Umesh Sharma· KVM Research Journal· 0 citations
Investigation of the significance of XAI in improving the executives’ decision-making process with greater transparency, trust, accountability, and the human–AI collaboration finds that explainable AI can boost managers’ confidence and enhance the quality, speed, and defensibility of strategic choices.
Virendra Gomase, Suhas B. Dhande, P. Natu· International journal of com...· 0 citations
Assessing the effects of technology reliability (RL), credibility (CR) and technical competence (TEC) on HR professionals’ trust and, subsequently, their intent to deploy AI tools reveals that technology RL, CR and TEC each enhance trust in AI.
R. Arora, Neha Kumari Siradhana· South Asian Journal of Human...· 0 citations
The research adds to current literature, combining XAI characteristics with value-based and technology acceptance models, thus providing a more in-depth insight into the AI adoption in the new markets.
A dual perception is revealed in which optimism regarding AI’s potential coexists with recognition of the organizational adjustments it demands, revealing a dual perception in which optimism regarding AI’s potential coexists with recognition of the organizational adjustments it demands.
M. Nakash, E. Bolisani· European Conference on Knowl...· 0 citations
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