Quality-aware Dynamic Task Assignment in Human+AI Crowd
Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima · Companion Proceedings of the Web Conference 2020 · 2020
Today, crowdsourcing the creation of AI programs is a common practice. However, combining the created programs with other programs and human computations to obtain efficient human-in-the-loop solutions is not trivial. Our paper proposes a framework to address the problem of dynamically assigning tasks to a crowd of AI and human workers, and presents the results of a preliminary experiment.