EconPapers    
Economics at your fingertips  
 

The Social Importance of Being Stubborn When an Organization Meets AI

Renaud Foucart, Fanqi Zeng and Shidong Wang

No nfgy3_v1, SocArXiv from Center for Open Science

Abstract: In the age of Artificial Intelligence (AI), we have access to high-quality advice from intelligent machines, creating tensions between efficiency and autonomy. While it is often individually beneficial to follow AI recommendations, it can lead to dangerous herding behavior when AI provides incorrect information, a phenomenon observed in corporate scandals such as biased hiring algorithms, financial automation, or the monitoring of employees. In this paper, we show how a small group of stubborn workers following their own, imperfect but independent, information may help mitigate the risks of AI advice in their organization. However, stubbornness is costly---such individuals persist only if subsidized in the recruitment and promotion system despite lower average performance, or if they have a strong intrinsic preference for autonomy.

Date: 2025-11-11
References: Add references at CitEc
Citations:

Downloads: (external link)
https://osf.io/download/6912437dec552d97cb0c16c4/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:nfgy3_v1

DOI: 10.31219/osf.io/nfgy3_v1

Access Statistics for this paper

More papers in SocArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().

 
Page updated 2025-11-16
Handle: RePEc:osf:socarx:nfgy3_v1