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Siddharth Suri

Microsoft Research, USA (writing residency)
Measuring and Shaping the Effects of AI on Society
01 June 2026 - 30 June 2026
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Siddharth Suri is a computational social scientist at Microsoft Research. His early work analyzed the relationship between network topology and human behavior. Since then, he became one of the leaders in designing, building, and conducting "virtual lab" experiments using Amazon's Mechanical Turk. This research stream turned into a study of the on-demand workers who power many modern apps, websites, and AI systems which culminated in Ghost Work (coauthored with Mary L. Gray). During and after the COVID-19 pandemic, he explored the future of work. Most recently, he has been analyzing the effects of AI on society.

Siddharth Suri joins the Paris IAS in June 2026 for a one-month writing residency.

Research topics

Effects of AI on Society; Future of Work; Computational Social Science.

Measuring and Shaping the Effects of AI on Society

The recent emergence of large language models (LLMs) has empowered machines to perform tasks that were previously difficult—or even impossible—to accomplish on their own. These models can generate novel digital artifacts, including text, images, and code, enabling fundamentally new forms of interaction with digital information. Crucially, these capabilities are now globally accessible to anyone with an internet connection, marking LLMs as a transformative, general-purpose technology with far-reaching societal implications. This research project examines one critical domain of AI’s societal impact—such as education, the economy, or health—and develops empirical measures to better understand and guide these effects toward broadly positive and equitable outcomes.

Key publications

Siddharth Suri. "Defining our future with generative AI". Nature Computational Science, 2024. 
Available here: https://www.nature.com/articles/s43588-024-00694-5

Siddharth Suri, Eaman Jahani, Benjamin S. Manning, Joe Zhang, Hong-Yi TuYe, Mohammed Alsobay, Christos Nicolaides, David Holtz, "As Generative Models Improve, We Must Adapt Our Prompts". arXiv, 2024.
DOI: https://doi.org/10.48550/arXiv.2407.14333

Siddharth Suri, Longqi Yang , David Holtz , Sonia Jaffe  , Shilpi Sinha, Jeffrey Weston, Connor. Joyce, Neha Shah, Kevin Sherman , Brent Hecht et Jeffrey Teevan. "The Effects of Remote Work on Collaboration Among Information Workers". Nature Human Behavior, September 2021.
Available here: https://www.nature.com/articles/s41562-021-01196-4

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2025-2026