FROM AI TOOL TO AI PARTNER: EXAMINING HUMAN–AI COLLABORATION IN ORGANIZATIONAL INFORMATION SYSTEMS

Artificial Intelligence (AI) has rapidly evolved from a technology used primarily for automation and decision support into increasingly autonomous systems capable of generating recommendations, coordinating tasks, interacting with employees, and participating in organizational decision processes. This transformation creates a fundamental shift in the role of AI within organizational Information Systems (IS): from an AI tool that executes predefined tasks toward an AI partner that collaborates with humans in knowledge-intensive and decision-oriented activities. However, technological capability alone does not guarantee effective human–AI collaboration. Organizations must address trust, explainability, human oversight, task complementarity, AI capability, and organizational readiness to realize sustainable benefits. This paper develops a conceptual framework for examining the transition from AI tool to AI partner in organizational IS. The proposed framework argues that AI capability and AI explainability influence human trust in AI, which subsequently shapes the quality of human–AI collaboration. Effective collaboration is expected to improve decision quality and ultimately contribute to organizational outcomes. The framework additionally recognizes human oversight, task–AI fit, and organizational AI readiness as important contextual conditions. The study integrates perspectives from Information Systems, human–AI interaction, trust theory, human-centered AI, and organizational decision-making. Recent research indicates that explainability can improve decision accuracy and behavioral trust, while excessive autonomy, automation bias, and poorly calibrated trust may undermine collaboration. Therefore, the paper proposes that successful AI transformation depends not simply on AI adoption, but on the development of complementary human–AI relationships. The framework provides theoretical foundations and practical guidance for organizations seeking to design trustworthy, explainable, and productive AI-enabled information systems.