Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence
This post highlights a new working paper by MIT PhD students Shakked Noy and Whitney Zhang. The study, titled “Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence,” examines how generative AI tools affect worker productivity through a controlled experiment. The findings contribute to the ongoing discussion on AI’s role in the workplace.
Source: https://economics.mit.edu/sites/default/files/inline-files/Noy_Zhang_1.pdf

Whitney Zhang
Whitney Zhang is a PhD student in economics at the Massachusetts Institute of Technology. She is a co-author of the paper “Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence.”

Shakked Noy
Shakked Noy is a PhD student in economics at the Massachusetts Institute of Technology. He is a co-author of the paper “Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence.”
