6 citations · 18 across the 9 of their papers we have counts for
9 papers
Adoption of Generative AI in the Workplace: Increasing and Shifting the Balance of Productivity and Communication Activity
Yulin Yu, Yan Chen, Rui Hu +2
Generative AI is transforming the workplace by augmenting and automating cognitive tasks, reshaping how organizations work and innovate while raising questions about workplace ineq…
AI in the Enterprise: How People Use M365 Copilot Chat
Scott Counts, Yan Chen, Jing Dong +9
M365 Copilot is used every week by millions of people across more than a million companies around the world as part of their workflows. Uniquely positioned in the AI landscape give…
From Searchable to Non-Searchable: Generative AI and Information Diversity in Online Information Seeking
Yulin Yu, Yizhou Li, Siddharth Suri +3
Conversational generative AI systems such as ChatGPT are transforming how people seek and engage with information online. Unlike traditional search engines, these systems support o…
Working with AI: Measuring the Applicability of Generative AI to Occupations
Kiran Tomlinson, Sonia Jaffe, Will Wang +2
With generative AI emerging as a general-purpose technology, understanding its economic effects is among society's most pressing questions. Earlier work on AI impact largely relied…
The Effects of Enterprise Social Media on Communication Networks
Manoel Horta Ribeiro, Teny Shapiro, Siddharth Suri
Enterprise social media platforms (ESMPs) are web-based platforms with standard social media functionality, e.g., communicating with others, posting links and files, liking content…
The Use of Generative Search Engines for Knowledge Work and Complex Tasks
Siddharth Suri, Scott Counts, Leijie Wang +11
Until recently, search engines were the predominant method for people to access online information. The recent emergence of large language models (LLMs) has given machines new capa…
TnT-LLM: Text Mining at Scale with Large Language Models
Mengting Wan, Tara Safavi, Sujay Kumar Jauhar +11
Transforming unstructured text into structured and meaningful forms, organized by useful category labels, is a fundamental step in text mining for downstream analysis and applicati…
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
Ying-Chun Lin, Jennifer Neville, Jack W. Stokes +14
Accurate and interpretable user satisfaction estimation (USE) is critical for understanding, evaluating, and continuously improving conversational systems. Users express their sati…
The impact of generative artificial intelligence on socioeconomic inequalities and policy making
Valerio Capraro, Austin Lentsch, Daron Acemoglu +28
Generative artificial intelligence has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisc…