The Science of Rejection: A Research Area for Human Computation

Conference paper (2021)

Authors

Burcu Sayin Università di Trento
J. Yang Web Information Systems - EEMCS
Andrea Passerini Università di Trento
Fabio Casati ServiceNow
Research Group
Web Information Systems (EEMCS) (TU Delft)
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Published Date

2021

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

Abstract

We motivate why the science of learning to reject model predictions is central to ML, and why human computation has a lead role in this effort.

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