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Cited by 330Ethics and Social Impacts of AINatural Language Processing TechniquesArtificial Intelligence in Law

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

The Social Impact of Natural Language Processing

Open access
Hovy, Dirk, Spruit, Shannon L.·2016·Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
DOI 10.18653/v1/p16-2096
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Abstract

Medical sciences have long since established an ethics code for experiments, to minimize the risk of harm to subjects.Natural language processing (NLP) used to involve mostly anonymous corpora, with the goal of enriching linguistic analysis, and was therefore unlikely to raise ethical concerns.As NLP becomes increasingly wide-spread and uses more data from social media, however, the situation has changed: the outcome of NLP experiments and applications can now have a direct effect on individual users' lives.Until now, the discourse on this topic in the field has not followed the technological development, while public discourse was often focused on exaggerated dangers.This position paper tries to take back the initiative and start a discussion.We identify a number of social implications of NLP and discuss their ethical significance, as well as ways to address them.

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Metadata

Authors
Hovy, D., & Spruit, S. L.
Affiliations
University of Copenhagen (DK)
ORCID
Venue
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Publisher
Association for Computational Linguistics
Published
2016
Pages
591-598
ISSN
0736-587X (ISSN-L)
DOI
10.18653/v1/p16-2096
OpenAlex
W2511234952
Cited by
329
References
53
Citations by year
2026: 31 · 2025: 39 · 2024: 18 · 2023: 47 · 2022: 45 · 2021: 58 · 2020: 40 · 2019: 16 · 2018: 17 · 2017: 15 · 2016: 3
FWCI
71.55
Type
conference paper
Language
en
Open access
Licence
cc-by
Locations
  • Proceedings of the conference - Association for Computational Linguistics. Meeting (publishedVersion)
  • Archivio istituzionale della Ricerca - Bocconi (submittedVersion, cc-by)
  • Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
  • Research Repository (Delft University of Technology) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
  • Social Sciences › Law › Artificial Intelligence in Law
Keywords
social media data, ethical risks, public discourse on AI

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