Socially responsible natural language processing

Yulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As language technologies have become increasingly prevalent in analyzing online data, there is a growing awareness that decisions we make about our data, methods, and tools often have immense impact on people and societies. This tutorial will provide an overview of real-world applications of Natural Language Processing technologies and their potential ethical implications. We intend to provide the researchers with an overview of tools to ensure that the data, algorithms, and models that they build are socially responsible. These tools will include a checklist of common pitfalls that one should avoid, as well as methods to mitigate these issues. Issues of bias, ethics, and impact are often not clear-cut; this tutorial will also discuss the complexities inherent in this area.

Original languageEnglish (US)
Title of host publicationThe Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019
PublisherAssociation for Computing Machinery, Inc
Number of pages1
ISBN (Electronic)9781450366755
DOIs
StatePublished - May 13 2019
Event2019 World Wide Web Conference, WWW 2019 - San Francisco, United States
Duration: May 13 2019May 17 2019

Publication series

NameThe Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019

Conference

Conference2019 World Wide Web Conference, WWW 2019
CountryUnited States
CitySan Francisco
Period5/13/195/17/19

Keywords

  • Bias in data and models
  • Ethical considerations in computing
  • Ethics in natural language processing
  • Human-generated data
  • Privacy
  • Socially responsible computing
  • Textual data

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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