Investigating Writing Professionals' Relationships with Generative AI: How Combined Perceptions of Rivalry and Collaboration Shape Work Practices and Outcomes
Tandon School of Engineering New York University（纽约大学工程学院）；Stern School of Business New York University（纽约大学商学院）
This study investigates how professional writers' complex relationship with GenAI shapes their work practices and outcomes. Through a cross-sectional survey with writing professionals (n=403) in diverse roles, we show that collaboration and rivalry orientation are associated with differences in work practices and outcomes. Rivalry is primarily associated with relational crafting and skill maintenance. Collaboration is primarily associated with task crafting, productivity, and satisfaction, at the cost of long-term skill deterioration. Combination of the orientations (high rivalry and high collaboration) reconciles these differences, while boosting the association with the outcomes. Our findings argue for a balanced approach where high levels of rivalry and collaboration are essential to shape work practices and generate outcomes aimed at the long-term success of the job. We present key design implications on how to increase friction (rivalry) and reduce over-reliance (collaboration) to achieve a more balanced relationship with GenAI.
AI Rivalry as a Craft: How Resisting and Embracing Generative AI Reshape Writing Professions
Tandon School of Engineering New York University NYC NY USA；Stern School of Business New York University NYC NY USA；Tandon School of Engineering New York University；Stern School of Business New York University
Generative AI in Heritage Practice: Improving the Accessibility of Heritage Guidance
Edinburgh Futures Institute（爱丁堡未来研究所）；University of Edinburgh（爱丁堡大学）；Historic England（英国历史遗产委员会）；School of History, Classics & Archaeology University of Edinburgh（历史、古典学与考古学学院爱丁堡大学）
