AI-Assisted Searching Through Crowdsourced Solution Space

Julian Wahl, Johann Füller and Katja Hutter

Marketing Review St.Gallen, 2022, vol. 39, issue 6, 30-38

Abstract: In crowdsourcing contests, managers have to process hundreds of potential solutions on different topics and from different perspectives. This is resource-intensive, and the cognitive limits of humans are quickly exceeded. Applying contemporary AI-based language models is a promising way to help structure and explore crowdsourcing solutions.

Date: 2022
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