Trust in Digital Human-AI Team Collaboration: A Systematic Review

Abstract

Artificial intelligence (AI) is increasingly used to support team collaboration on digital platforms. Trust has been identified as critical for team collaboration yet adopting AI changes team dynamics and challenges team trust. Based on a systematic literature review this study shows how different digital human-AI team role and task configurations affect team processes and related trust dynamics between AI and human collaborators. It also identifies cross-level effects as team-level trust is dynamically linked to both individual perceptions of AI trustworthiness and organizational level trust and psychological safety in AI adoption. This study contributes to research on trust in digital human-AI-team collaboration by identifying relevant literature streams and providing a conceptual framework for the multi-referent and multi-level trust in digital human-AI team collaboration. The paper concludes with implications for research and practice as well as future research ideas stemming from the review.