most citedFuture of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Offloading Score: Measuring AI Reliance Through Counterfactual Workflows

Vishakh Padmakumar, Lujain Ibrahim, Zora Zhiruo Wang +3

AI tools are increasingly integrated into real-world workflows. However, existing measures of reliance on these tools focus on AI output adoption or on self-reported indicators, ra…

cs.AI2026

How Well Does Agent Development Reflect Real-World Work?

Zora Zhiruo Wang, Sanidhya Vijayvargiya, Aspen Chen +7

AI agents are increasingly developed and evaluated on benchmarks relevant to human work, yet it remains unclear how representative these benchmarking efforts are of the labor marke…

cs.AI2025★ 1 cited

How Do AI Agents Do Human Work? Comparing AI and Human Workflows Across Diverse Occupations

Zora Zhiruo Wang, Yijia Shao, Omar Shaikh +3

AI agents are continually optimized for tasks related to human work, such as software engineering and professional writing, signaling a pressing trend with significant impacts on t…

cs.CL2025

Generative Interfaces for Language Models

Jiaqi Chen, Yanzhe Zhang, Yutong Zhang +2

Large language models (LLMs) are increasingly seen as assistants, copilots, and consultants, capable of supporting a wide range of tasks through natural conversation. However, most…

cs.CY2025★ 6 cited

Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce

Yijia Shao, Humishka Zope, Yucheng Jiang +4

The rapid rise of compound AI systems (a.k.a., AI agents) is reshaping the labor market, raising concerns about job displacement, diminished human agency, and overreliance on autom…