Sarah H. Bana

Sarah H. Bana

Assistant Professor, Department of Management — Information Systems and Innovation

London School of Economics and Political Science

Digital Fellow, Stanford Digital Economy Lab

I am an Assistant Professor in the Department of Management (Information Systems and Innovation) at the London School of Economics and Political Science and a Digital Fellow at the Stanford Digital Economy Lab.

My research focuses on how AI and digitization reshape the skills and activities of workers and firms. I study algorithmic hiring systems, AI-generated job recommendations, and generative AI’s impact on labor markets.

In the News

On the This IS Research podcast, with Jan Recker and Nick Berente

Welcome, AI Reviewer Two — It is difficult to speed up the review process. And we need to figure out a way to decrease the burden on human reviewers, while using the new AI tools at our disposal to improve our research. That's why, on This IS Research, we've described our proposal to fight fire with fire and infuse AI tools into the review process. Every author submitting to WORTH 2027 will get a Refine.ink review of their submission — and if you're interested in reviewing, please sign up.

Recent Papers

Fighting Fire with Fire: Infusing AI into Peer Review to Sustain Quality Scholarship Hemant K. Bhargava, Sarah H. Bana, Zhe Zhang, Pantelis Loupos, Laura Brandimarte, Vidyanand Choudhary, J. Frank Li, Daniel Zantedeschi (2026) · Management Science
Algorithmic Monocultures in Hiring Rishi Bommasani, Sarah H. Bana, Kathleen A. Creel, Dan Jurafsky, Percy Liang (2026) · ACM Conference on Fairness, Accountability, and Transparency (FAccT '26)

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