Towards an integrative model of organizational human-AI collaboration: A semi-systematic review of the current state of the art

Abstract

This article emphasizes the role of AI trustworthiness in business operations, aiming to understand which factors must be considered to ensure trust with AI in human-AI collaboration settings. While acknowledging the prevailing emphasis on technical aspects, our research highlights the necessity of a formalized trust model with AI. Through a literature review, we identify foundational principles for designing human-AI systems. Our key contribution lies in proposing a set of sixteen key conceptual elements as testable hypotheses for future studies. These elements are systematically integrated into a unified trust framework, providing a structure to enhance trust in AI systems, thereby fostering more effective human-AI interactions. By clarifying the features of AI that enhance human trust, this framework bridges conceptual gaps in prior literature and provides actionable insights for aligning AI development with organizational and user needs.