发表机构
National University of Singapore; Stanford University; Genue; Agency for Science, Technology and Research (A*STAR); Ministry of Manpower, Singapore; A*STAR Institute of Advanced Intelligence and Computing; The University of Texas at Austin（新加坡国立大学; 斯坦福大学; Genue; 新加坡科技研究局（A*STAR）; 新加坡人力部; A*STAR高级智能与计算研究所; 德克萨斯大学奥斯汀分校）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一个包含六条件的工作流级框架，以定义和评估 AI 增强工作的价值，并通过社会调查案例展示其应用，为理解未来工作提供指导。
AI 中文摘要
我们旨在刻画人工智能在工作场所的价值。当前研究主要根据现有的自动化能力和公众对 AI 的采用来衡量这一价值。然而，此类指标忽视了人机协作在改变工作性质方面的更大影响。为考虑这一点，我们必须将分析范围扩展到当今原子化任务之外，转而关注 AI 如何增强未来的整个工作流。为夯实这一分析，我们建立了 AI 增强的精确定义，包含六个条件，涵盖持久净价值、有意义的人类控制、问责与恢复，以及通过学习、职业路径和工作目的实现的人类长期发展。我们详细阐述了这些条件，并在 AI 介导的社会调查案例研究中应用了该框架。最后，我们概述了组织、研究人员和政府领导者如何利用该框架来理解工作的未来。
英文摘要
We aim to characterise the value of artificial intelligence in the workplace. Current studies largely measure this value in terms of the current automation capabilities and public adoption of AI. However, such metrics ignore the greater impacts of human--agent collaboration in transforming the nature of work. To account for this, we must expand the scope of our analysis beyond atomised tasks of today, and instead focus on how AI can augment entire workflows of the future. To ground this analysis, we establish a precise definition of AI augmentation comprising six conditions, spanning durable net value, meaningful human control, accountability and recovery, and long-term human development through learning, career pathways, and job purpose. We elaborate on these conditions and apply the framework in a case study of AI-mediated social surveys. We conclude by outlining how organisations, researchers, and government leaders can use this framework to make sense of the future of work.
Comments8 pages. Whitepaper from the CIVIC-AI 2026 workshop
