Large language model-powered tools like Copilot have the potential to increase labor productivity more than any technology in a generation. Motivated by the significance of this moment, researchers from across Microsoft have come together to measure and improve the productivity impacts of Copilot, as well as understand and mitigate externalities.
This group of researchers is part of Microsoft’s broader New Future of Work Initiative (opens in new tab), which is our research effort to make work better as work rapidly changes, from hybrid work to AI.
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Publication
Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity
December 5, 2023 | Alexia Cambon, Brent Hecht, Ben Edelman, Donald Ngwe, Sonia Jaffe, et al.
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Publication
Randomized Controlled Trial for Microsoft Security Copilot
November 30, 2023 | Benjamin G. Edelman, James Bono, Sida Peng, Roberto Rodriguez, and Sandra Ho
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Publication
Measuring the Impact of AI on Information Worker Productivity
November 29, 2023 | Benjamin G. Edelman, Donald Ngwe, and Sida Peng
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Publication
Sound Like Me: Findings from a Randomized Experiment
November 8, 2023 | Spatharioti, Sofia Eleni, David M. Rothschild, Daniel G. Goldstein, and Jake M. Hofman
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Publication
Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
September 20, 2023 | Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarathi Das, Ali Montazer, et al.
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Publication
The Impact of AI on Developer Productivity: Evidence from GitHub Copilot
February 13, 2023 | Sida Peng, Eirini Kalliamvakou, Peter Cihon, and Mert Demirer
Leads
Alexia Cambon
Senior Director, Future of Work Research
Researchers
There are dozens of researchers from across Microsoft working on this initiative. The authors of the above papers are a great place to start. We’ll be posting more work from more researchers as it becomes available!