The Implications of Artificial Intelligence Feedback for Worker Productivity

dc.contributor.author Liu, Haoyuan
dc.contributor.author Wen, Wen
dc.contributor.author Agarwal, Ashish
dc.contributor.author Whinston, Andrew
dc.date.accessioned 2023-12-26T18:37:40Z
dc.date.available 2023-12-26T18:37:40Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 9dfda309-fec9-4af5-9128-131b9e4c5d17
dc.identifier.uri https://hdl.handle.net/10125/106606
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Technology and Analytics in Emerging Markets (TAEM)
dc.subject ai feedback
dc.subject ai supervisor
dc.subject artificial intelligence (ai)
dc.subject randomized field experiment
dc.subject worker productivity
dc.title The Implications of Artificial Intelligence Feedback for Worker Productivity
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract With the rapid development of artificial intelligence (AI) technologies, many organizations have adopted AI to collect data on worker behavior and provide feedback to workers based on such data (for simplicity, we call such tools as AI supervisors). In this study we explore how workers’ productivity is shaped by AI supervisors. We design and implement a large-scale randomized field experiment to quantify the economic impact of an AI supervisor on sales workers’ productivity and distinguish its effect on work effectiveness vs. work efficiency. Our results show that the AI supervisor positively influenced bottom-ranked sales workers’ productivity but had a negative impact on top-ranked workers’ productivity. We further seek to understand the mechanisms through which AI feedback influenced sales workers: Bottom-ranked workers’ productivity gain was driven by improvement in both selling effectiveness and customer engagement efficiency, whereas top-ranked workers’ productivity loss was largely driven by their reduction in customer engagement efficiency.
dcterms.extent 10 pages
prism.startingpage 1817
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
0178.pdf
Size:
512.62 KB
Format:
Adobe Portable Document Format
Description: