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

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The Social Impact of Natural Language Processing

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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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Authors: Hovy, D., & Spruit, S. L.
Affiliations: University of Copenhagen (DK)
ORCID: Hovy, Dirk
Spruit, Shannon L.
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: green
hdl.handle.net
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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The Social Impact of Natural Language Processing

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