Exploring Stereotypes and Biases in Language Technologies in Latin America

Autores
Maina, Hernán Javier; Alonso Alemany, Laura; Ivetta, Guido; Rajngewerc, Mariela; Busaniche, Beatriz; Benotti, Luciana
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Language technologies are becoming more pervasive in our everyday lives, and they are also being applied in critical domains involving health, justice, and education. Given the importance of these applications and how they may affect our quality of life, it has become crucial to assess the errors they may make. In characterizing patterns of error, it has been found that systems obtained by machine-learning(ML) techniques from large quantities of text, such as large language models (LLMs), reproduce and amplify stereotypes. When deployed in actual applications, amplification of stereotypes can result in discriminatory behavior considered harmful in many jurisdictions.This kind of behavior is known as social bias, in that errors are distributed unevenly across social groups. Motivated by this problem, research about fairness in computational applications and in language technologies has grown considerably in recent years. However, most of this research is based on languages and representations of social biases originating in Global North cultures.
Fil: Maina, Hernán Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba; Argentina
Fil: Alonso Alemany, Laura. Universidad Nacional de Córdoba; Argentina
Fil: Ivetta, Guido. Universidad Nacional de Córdoba; Argentina
Fil: Rajngewerc, Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba; Argentina
Fil: Busaniche, Beatriz. Fundación Vía Libre; Argentina
Fil: Benotti, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba; Argentina
Materia
Social Bias
Large Language Models
Fairness
Stereotype Amplification
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/280733
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Exploring Stereotypes and Biases in Language Technologies in Latin AmericaMaina, Hernán JavierAlonso Alemany, LauraIvetta, GuidoRajngewerc, MarielaBusaniche, BeatrizBenotti, LucianaSocial BiasLarge Language ModelsFairnessStereotype Amplificationhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Language technologies are becoming more pervasive in our everyday lives, and they are also being applied in critical domains involving health, justice, and education. Given the importance of these applications and how they may affect our quality of life, it has become crucial to assess the errors they may make. In characterizing patterns of error, it has been found that systems obtained by machine-learning(ML) techniques from large quantities of text, such as large language models (LLMs), reproduce and amplify stereotypes. When deployed in actual applications, amplification of stereotypes can result in discriminatory behavior considered harmful in many jurisdictions.This kind of behavior is known as social bias, in that errors are distributed unevenly across social groups. Motivated by this problem, research about fairness in computational applications and in language technologies has grown considerably in recent years. However, most of this research is based on languages and representations of social biases originating in Global North cultures.Fil: Maina, Hernán Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba; ArgentinaFil: Alonso Alemany, Laura. Universidad Nacional de Córdoba; ArgentinaFil: Ivetta, Guido. Universidad Nacional de Córdoba; ArgentinaFil: Rajngewerc, Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba; ArgentinaFil: Busaniche, Beatriz. Fundación Vía Libre; ArgentinaFil: Benotti, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba; ArgentinaAssociation for Computing Machinery2024-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/280733Maina, Hernán Javier; Alonso Alemany, Laura; Ivetta, Guido; Rajngewerc, Mariela; Busaniche, Beatriz; et al.; Exploring Stereotypes and Biases in Language Technologies in Latin America; Association for Computing Machinery; Communications Of The Acm; 67; 8; 8-2024; 54-560001-07821557-7317CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://dl.acm.org/doi/10.1145/3653322info:eu-repo/semantics/altIdentifier/doi/10.1145/3653322info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-02-26T10:27:12Zoai:ri.conicet.gov.ar:11336/280733instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-02-26 10:27:12.367CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Exploring Stereotypes and Biases in Language Technologies in Latin America
title Exploring Stereotypes and Biases in Language Technologies in Latin America
spellingShingle Exploring Stereotypes and Biases in Language Technologies in Latin America
Maina, Hernán Javier
Social Bias
Large Language Models
Fairness
Stereotype Amplification
title_short Exploring Stereotypes and Biases in Language Technologies in Latin America
title_full Exploring Stereotypes and Biases in Language Technologies in Latin America
title_fullStr Exploring Stereotypes and Biases in Language Technologies in Latin America
title_full_unstemmed Exploring Stereotypes and Biases in Language Technologies in Latin America
title_sort Exploring Stereotypes and Biases in Language Technologies in Latin America
dc.creator.none.fl_str_mv Maina, Hernán Javier
Alonso Alemany, Laura
Ivetta, Guido
Rajngewerc, Mariela
Busaniche, Beatriz
Benotti, Luciana
author Maina, Hernán Javier
author_facet Maina, Hernán Javier
Alonso Alemany, Laura
Ivetta, Guido
Rajngewerc, Mariela
Busaniche, Beatriz
Benotti, Luciana
author_role author
author2 Alonso Alemany, Laura
Ivetta, Guido
Rajngewerc, Mariela
Busaniche, Beatriz
Benotti, Luciana
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Social Bias
Large Language Models
Fairness
Stereotype Amplification
topic Social Bias
Large Language Models
Fairness
Stereotype Amplification
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Language technologies are becoming more pervasive in our everyday lives, and they are also being applied in critical domains involving health, justice, and education. Given the importance of these applications and how they may affect our quality of life, it has become crucial to assess the errors they may make. In characterizing patterns of error, it has been found that systems obtained by machine-learning(ML) techniques from large quantities of text, such as large language models (LLMs), reproduce and amplify stereotypes. When deployed in actual applications, amplification of stereotypes can result in discriminatory behavior considered harmful in many jurisdictions.This kind of behavior is known as social bias, in that errors are distributed unevenly across social groups. Motivated by this problem, research about fairness in computational applications and in language technologies has grown considerably in recent years. However, most of this research is based on languages and representations of social biases originating in Global North cultures.
Fil: Maina, Hernán Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba; Argentina
Fil: Alonso Alemany, Laura. Universidad Nacional de Córdoba; Argentina
Fil: Ivetta, Guido. Universidad Nacional de Córdoba; Argentina
Fil: Rajngewerc, Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba; Argentina
Fil: Busaniche, Beatriz. Fundación Vía Libre; Argentina
Fil: Benotti, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba; Argentina
description Language technologies are becoming more pervasive in our everyday lives, and they are also being applied in critical domains involving health, justice, and education. Given the importance of these applications and how they may affect our quality of life, it has become crucial to assess the errors they may make. In characterizing patterns of error, it has been found that systems obtained by machine-learning(ML) techniques from large quantities of text, such as large language models (LLMs), reproduce and amplify stereotypes. When deployed in actual applications, amplification of stereotypes can result in discriminatory behavior considered harmful in many jurisdictions.This kind of behavior is known as social bias, in that errors are distributed unevenly across social groups. Motivated by this problem, research about fairness in computational applications and in language technologies has grown considerably in recent years. However, most of this research is based on languages and representations of social biases originating in Global North cultures.
publishDate 2024
dc.date.none.fl_str_mv 2024-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/280733
Maina, Hernán Javier; Alonso Alemany, Laura; Ivetta, Guido; Rajngewerc, Mariela; Busaniche, Beatriz; et al.; Exploring Stereotypes and Biases in Language Technologies in Latin America; Association for Computing Machinery; Communications Of The Acm; 67; 8; 8-2024; 54-56
0001-0782
1557-7317
CONICET Digital
CONICET
url http://hdl.handle.net/11336/280733
identifier_str_mv Maina, Hernán Javier; Alonso Alemany, Laura; Ivetta, Guido; Rajngewerc, Mariela; Busaniche, Beatriz; et al.; Exploring Stereotypes and Biases in Language Technologies in Latin America; Association for Computing Machinery; Communications Of The Acm; 67; 8; 8-2024; 54-56
0001-0782
1557-7317
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://dl.acm.org/doi/10.1145/3653322
info:eu-repo/semantics/altIdentifier/doi/10.1145/3653322
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Association for Computing Machinery
publisher.none.fl_str_mv Association for Computing Machinery
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.176822

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