Title: An emerging trend is to leverage an under-explored and richly heterogeneous pool of human knowledge inside machine algorithms, a practice popularly termed as human-in-the-loop (HIL) process. A wide variety of applications, starting from query processing to text translation, feature engineering, or even human decision making in complex uncertain environments stand to benefit from such synergistic man-machine collaboration. This talk will discuss our ongoing projects, recent research results, and impacts that investigate a variety of optimization opportunities inside such HIL systems, considering the roles and responsibilities of three key stakeholders – humans (workers), machines (algorithms), and platforms (online infrastructure where the work takes place). Following that, the talk will briefly discuss how this ongoing research is well aligned in the context of the future-of-work.
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