Ethics and Bias in Natural Language Processing

Zeerak Talat; Su Lin  Blodgett

doi:10.1016/B978-0-323-95504-1.01226-6

Ethics and Bias in Natural Language Processing

Zeerak Talat
, Su Lin Blodgett

Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary

Abstract

As language technologies are increasingly widely deployed and adopted, ethical concerns have become a more prominent issue, with research engaging with it spanning fields such as natural language processing to human-computer interaction. In this entry, we present a primer for interested readers, extracting key insights and texts on ethical issues pertaining to language technologies, with a focus on bias and fairness. We highlight existing approaches and identify challenges and critiques of how the body of work has conceptualized and operationalized research on ethical language technologies.

Original language	English
Title of host publication	Reference Module in Social Sciences
Publisher	Elsevier
ISBN (Electronic)	9780443157851
DOIs	https://doi.org/10.1016/B978-0-323-95504-1.01226-6
Publication status	Published - 2 Dec 2025

Access to Document

10.1016/B978-0-323-95504-1.01226-6

Cite this

@inbook{8bff4ccae67e410b9cd2c94a75890eb0,

title = "Ethics and Bias in Natural Language Processing",

abstract = "As language technologies are increasingly widely deployed and adopted, ethical concerns have become a more prominent issue, with research engaging with it spanning fields such as natural language processing to human-computer interaction. In this entry, we present a primer for interested readers, extracting key insights and texts on ethical issues pertaining to language technologies, with a focus on bias and fairness. We highlight existing approaches and identify challenges and critiques of how the body of work has conceptualized and operationalized research on ethical language technologies.",

author = "Zeerak Talat and Blodgett, \{Su Lin\}",

year = "2025",

month = dec,

day = "2",

doi = "10.1016/B978-0-323-95504-1.01226-6",

language = "English",

booktitle = "Reference Module in Social Sciences",

publisher = "Elsevier",

address = "Netherlands",

}

TY - CHAP

T1 - Ethics and Bias in Natural Language Processing

AU - Talat, Zeerak

AU - Blodgett, Su Lin

PY - 2025/12/2

Y1 - 2025/12/2

N2 - As language technologies are increasingly widely deployed and adopted, ethical concerns have become a more prominent issue, with research engaging with it spanning fields such as natural language processing to human-computer interaction. In this entry, we present a primer for interested readers, extracting key insights and texts on ethical issues pertaining to language technologies, with a focus on bias and fairness. We highlight existing approaches and identify challenges and critiques of how the body of work has conceptualized and operationalized research on ethical language technologies.

AB - As language technologies are increasingly widely deployed and adopted, ethical concerns have become a more prominent issue, with research engaging with it spanning fields such as natural language processing to human-computer interaction. In this entry, we present a primer for interested readers, extracting key insights and texts on ethical issues pertaining to language technologies, with a focus on bias and fairness. We highlight existing approaches and identify challenges and critiques of how the body of work has conceptualized and operationalized research on ethical language technologies.

U2 - 10.1016/B978-0-323-95504-1.01226-6

DO - 10.1016/B978-0-323-95504-1.01226-6

M3 - Entry for encyclopedia/dictionary

BT - Reference Module in Social Sciences

PB - Elsevier

ER -

Ethics and Bias in Natural Language Processing

Abstract

Access to Document

Fingerprint

Cite this