Sensemaking with AI: How trust influences Human-AI collaboration in health and creative industries
Sarah J. Daly, Greg Hearn, Kyriaki Papageorgiou
Abstract
This study investigates how trust influences human-AI collaboration within the health and creative sectors, where attitudes toward AI vary widely due to field-specific challenges and expectations. By comparing perspectives from 285 professionals, including artists and doctors, and through persona narratives , we explore how trust in AI can enhance human potential and encourage adoption. Findings reveal that trust hinges on transparency, contextual understanding, human agency during collaboration, and the user's initial perception of AI. This study contributes to understanding trust as a cornerstone of successful human-AI collaboration, proposing ways to foster trusted AI adoption across diverse professional landscapes.