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Title: Research Methods to Study & Empower Crowd Workers
The artificial intelligence (AI) industry has created new jobs that are essential to the real world deployment of intelligent systems. Part of the job focuses on labeling data for machine learning models or having workers complete tasks that AI alone cannot do. These workers are usually known as ‘crowd workers’—they are part of a large distributed crowd that is jointly (but separately) working on the tasks although they are often invisible to end-users, leading to workers often being paid below minimum wage and having limited career growth. In this chapter, we draw upon the field of human–computer interaction to provide research methods for studying and empowering crowd workers. We present our Computational Worker Leagues which enable workers to work towards their desired professional goals and also supply quantitative information about crowdsourcing markets. This chapter demonstrates the benefits of this approach and highlights important factors to consider when researching the experiences of crowd workers.  more » « less
Award ID(s):
1928528
NSF-PAR ID:
10276230
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
Oxford
ISSN:
1733-8921
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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