Crowdsourcing has become a standard tool to obtain large amounts of carefully annotated data. Nowadays, its applicability has exceeded the classical purpose of collecting data to train AI algorithms. Indeed, crowdsourcing is often used to conduct research studies and to gain valuable insights from public. This workshop focuses on the best practices for efficient and trustworthy crowdsourcing.
  • Large-Scale Data Excellence
  • Trust and Ethics
  • Crowd-AI Interplay


Michael Bernstein
Stanford University
Associate Professor. Human-Computer Interaction Group Computer Science Department
Wuraola Oyewusi
Data Science Nigeria
AI Researcher | Data Scientist
Ujwal Gadiraju
Delft University of Technology
Assistant Professor at the Web Information Systems group of the Faculty of Engineering, Mathematics and Computer Science
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Thu Oct 28 2021 13:01:36 GMT+0300 (Moscow Standard Time)