AI Trust, Learning, and Productivity: An SDT Approach

2026/07/28 by Godwin J. Udo, Ned Kock, Elisha J. Inyang
Computer Science · Social Sciences · #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #Innovation, Sustainability, Human-Machine Systems

paper · doi:10.1080/08874417.2026.2704056

openalex publication_date 2026/07/28 · openalex created_date 2026/07/29 · openalex updated_date 2026/07/30

Abstract

This study contributes to the artificial intelligence (AI) literature by empirically examining how trust in AI relates to AI-driven productivity, using data gathered from AI users in southern Nigeria. The results revealed a consistent pattern of positive relationships among trust in AI, personal connection with AI, AI-related learning, and productivity outcomes. Greater trust in AI was associated with stronger personal connection to it and with higher levels of AI knowledge and skills. Personal connection, in turn, was associated with greater commitment to learning about AI, which was associated with higher personal productivity. Personal connection also strengthened the positive association between learning commitment and productivity, and stronger AI skills were associated with greater productivity in AI use.

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