Can GenAI Move from Individual Use to Collaborative Work? Experiences, Challenges, and Opportunities of Coordinating GenAI into Collaborative Newswork

要旨

Generative AI (GenAI) is reshaping work, but adoption remains largely individual and experimental rather than coordinated into collaborative work. Whether GenAI can move from individual use to collaborative work is a critical question for future organizations. Journalism offers a compelling site to examine this shift: individual journalists have already been disrupted by GenAI tools; yet newswork is inherently collaborative relying on shared norms and coordinated workflows. We conducted 27 interviews with newsroom managers, editors and front-line journalists in China. We found that journalists frequently used GenAI to support daily tasks, but value alignment was safeguarded mainly through individual discretion. At the organizational level, GenAI use remained disconnected from team workflows, hindered by structural barriers and cultural reluctance to share practices. These findings underscore the gap between individual and collaborative work, pointing to the need to account for organizational structures, cultural norms, and workflow when coordinating GenAI for collaborative work.

著者
Qing Xiao
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Qing Hu
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Jingjia Xiao
University of California San Diego, San Diego, California, United States
Hancheng Cao
Emory University, Atlanta, Georgia, United States
Hong Shen
Carnegie Mellon University , Pittsburgh, Pennsylvania, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: The Workplace

P1 - Room 120
7 件の発表
2026-04-14 18:00:00
2026-04-14 19:30:00