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1 results

  • 5 - AI-supported Crowdsourcing for Knowledge Sharing

  • Edited by Dan Wu, Wuhan University, China, Shaobo Liang, Wuhan University, China
  • Book:
    Human-AI Interaction and Collaboration
    Published online:
    19 September 2025
    Print publication:
    09 October 2025, pp 110-134

  • 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.