Streamlining Crowdsourcing with Artificial Intelligence: A Promising Study

Leveraging AI to Improve Idea Screening in Crowdsourcing Contests

Recent research has explored how artificial intelligence (AI) can be utilized to enhance the ideation process in crowdsourcing contests. Traditionally, managers and their teams have had to manually sift through a multitude of ideas to identify the most promising ones. This is not only time-consuming but also lacks consistency and continuity in evaluation. To address this challenge, researchers have developed a model that leverages AI to screen out “bad” ideas while preserving the good ones. This model allows managers to customize the screening process to determine how many bad ideas to eliminate without losing potentially valuable contributions.