Study: Generative AI helps inexperienced workers
Less-experienced contact center agents become more productive with assistance from generative artificial intelligence, a new study finds.
Faculty
Danielle Li is an Associate Professor at the MIT Sloan School of Management, as well as a Faculty Research Fellow at the National Bureau of Economic Research. Her research interests are in economics of innovation and labor economics, with a focus on how organizations evaluate ideas, projects, and people.
Danielle's work has been published in leading academic journals across a range of fields, including the Quarterly Journal of Economics, Science, and Management Science. In addition, her work has been regularly featured in media outlets such as the Economist, New York Times, and Wall Street Journal.
She has previously taught at the Harvard Business School and the Kellogg School of Management. She holds an AB in mathematics and the history of science from Harvard College and a PhD in economics from MIT.
Featured Publication
"Discretion in Hiring."Hoffman, Mitchell, Lisa Kahn, and Danielle Li. Quarterly Journal of Economics Vol. 133, No. 2 (2018): 765-800. Download paper.
Featured Publication
"Public R&D Investments and Private Sector Patenting: Evidence from NIH Funding Rules."Azoulay, Pierre, Joshua S. Graff Zivin, Danielle Li, and Bhaven N. Sampat. Review of Economic Studies Vol. 86, No. 1 (2019): 117-152.
Benson, Alan M., Danielle Li, and Kelly Shue. Academy of Management Proceedings Vol. 2023, No. 1 (2023).
Brynjolfsson, Erik, Danielle Li, and Lindsey R. Raymond, MIT Sloan Working Paper 6848-23. Cambridge, MA: MIT Sloan School of Management, April 2023. NBER Working Paper 31161.
Agha, Leila, Soomi Kim, and Danielle Li. American Economic Review: Insights Vol. 4, No. 2 (2022): 191-208. Download Preprint.
Joshua Krieger, Danielle Li, and Dimitris Papanikolaou. The Review of Financial Studies Vol. 35, No. 2 (2022): 636–679. Download Preprint.
Less-experienced contact center agents become more productive with assistance from generative artificial intelligence, a new study finds.
From “smart skills” to digital marketing trends, here are the stories readers were drawn to this year.
Women are promoted less than men because they are deemed to have less leadership potential than men.
“One can imagine various policies that both firms and regulators can take regarding how to address how AI is used."
“Now data can be used to solve other people's problems ... I think it's really important to find a way to measure and compensate that.”
Workers who were given access to generative artificial intelligence tools became 14% more productive on average than those who were not.
Over six weeks, you’ll explore the technical and strategic considerations for robust, beneficial, and responsible AI deployment. You’ll examine the various stages of a proprietary ML Deployment Framework and unlock new opportunities by investigating the key challenges and their related impact. Guided by leading experts and MIT academics, you’ll build a toolkit for addressing these challenges within your own organization and context.