AI-supported Crowdsourcing for Knowledge Sharing

doi:10.1017/9781009587877.006

5 - AI-supported Crowdsourcing for Knowledge Sharing

Published online by Cambridge University Press: 19 September 2025

Chei Sian Lee ,

Dion Hoe-Lian Goh ,

Hang Guo ,

Kok Khiang Lim and

Qian Wu

Edited by

Dan Wu and

Shaobo Liang

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Dan Wu: Affiliation:
Wuhan University, China
Shaobo Liang: Affiliation:
Wuhan University, China

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Summary

AI-supported crowdsourcing for knowledge sharing is a collaborative approach that leverages artificial intelligence (AI) technologies to facilitate the gathering, organizing, and sharing of information or expertise among a large group of people, known as crowd workers. Despite the growing body of research on motivations in crowdsourcing, the impact of AI-supported crowdsourcing on workers’ motives remains unclear, as does the extent to which their participation can effectively address societal challenges. A systematic review is first conducted to identify trends and gaps in AI-supported crowdsourcing. This chapter then employs a case study through a crowdsourcing platform to look for missing children to demonstrate the pivotal role of AI in crowdsourcing in managing a major societal challenge. Emerging trends and technologies shaping motivations in AI-supported crowdsourcing will be discussed. Additionally, we offer recommendations for practitioners and researchers to integrate AI into crowdsourcing projects to address societal challenges.

Keywords

AI-supported Crowdsourcing Artificial Intelligence Collective Intelligence Motives Societal Challenges

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Type: Chapter
Information: Human-AI Interaction and Collaboration , pp. 110 - 134

DOI: https://doi.org/10.1017/9781009587877.006 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2025

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