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Resolving the Human Subjects Status of Machine Learning's Crowdworkers

Resolving the Human Subjects Status of Machine Learning's Crowdworkers

8 June 2022
Divyansh Kaushik
Zachary Chase Lipton
A. London
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Papers citing "Resolving the Human Subjects Status of Machine Learning's Crowdworkers"

4 / 4 papers shown
Title
The ethical ambiguity of AI data enrichment: Measuring gaps in research
  ethics norms and practices
The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices
Will Hawkins
Brent Mittelstadt
33
10
0
01 Jun 2023
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing
Boaz Shmueli
Jan Fell
Soumya Ray
Lun-Wei Ku
103
86
0
20 Apr 2021
With Little Power Comes Great Responsibility
With Little Power Comes Great Responsibility
Dallas Card
Peter Henderson
Urvashi Khandelwal
Robin Jia
Kyle Mahowald
Dan Jurafsky
225
115
0
13 Oct 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
235
319
0
21 Aug 2019
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