Threatened by AI: Analyzing Users’ Responses to the Introduction of AI in a Crowd-sourcing Platform To be published in Information Systems Research

60 Pages Posted: 22 Mar 2021 Last revised: 3 Dec 2023

See all articles by Mikhail Lysyakov

Mikhail Lysyakov

University of Rochester Simon School of Business

Siva Viswanathan

University of Maryland - Robert H. Smith School of Business

Date Written: December 2, 2023

Abstract

To be published in Information Systems Research


As Artificial Intelligence (AI) solutions are being rapidly deployed, they increasingly compete with human labor. This study examines designers’ strategies in response to the threat from the introduction of an AI system for simple logo designs in a crowdsourcing design platform. We study designers who were active both before and after the introduction of the AI system to understand their responses to the threat from AI. Our study is informed by the theories of threat, specifically the Protection Motivation Theory which posits that individuals will respond to threats based on their capabilities. We find that while some designers who had primarily participated in contests for lower-tier, simple logo designs leave the platform, others continue to participate in these contests. Interestingly, designers who have higher capabilities, evidenced by their prior participation in more-complex higher-tier logo-design contests and contests in other non-logo categories, move away from the primary locus of threat in the lower-tier – and switch to the more-complex contests after the introduction of the AI system. More interestingly, we find that successful designers respond differently from unsuccessful designers on the platform. While unsuccessful designers increase participation across multiple contests, they do not change the quality (emotional content and complexity) of their design submissions after the AI launch. In contrast, successful designers become more focused (i.e., they substantially increase the number of submissions within a contest) and more quality-oriented (i.e., they increase emotional content and complexity of their design submissions), after the AI launch. These findings have important implications for the nascent research on the impacts of AI on users in a crowdsourcing platform and for the design of such platforms.

Keywords: Artificial Intelligence, Crowdsourcing, Users’ strategies, Image analytics, PMT, Threat of AI

Suggested Citation

Lysyakov, Mikhail and Viswanathan, Siva, Threatened by AI: Analyzing Users’ Responses to the Introduction of AI in a Crowd-sourcing Platform To be published in Information Systems Research (December 2, 2023). Available at SSRN: https://ssrn.com/abstract=3758338 or http://dx.doi.org/10.2139/ssrn.3758338

Mikhail Lysyakov

University of Rochester Simon School of Business ( email )

Rochester, NY 14627
United States

Siva Viswanathan (Contact Author)

University of Maryland - Robert H. Smith School of Business ( email )

College Park, MD 20742-1815
United States

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