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Artificial intelligence in the preservation of native languages and bridging the information access gap for indigenous peoples

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Abstract:

Purpose The purpose of this article is to demonstrate how artificial intelligence contributes to the preservation of the cultural identity of native peoples as well as to reduce the gap in access to verified information in native languages of Peru. Design/methodology/approach An analysis of the context of artificial intelligence in the field of preservation of native languages was developed. Subsequently, the case of the digital tool Quispe Chequea was highlighted, which uses artificial intelligence to produce journalistic content of verification in three native languages of Peru (Quechua, Aimara and Awajún). Finally, a reflection was made on the contributions of artificial intelligence in reducing the gap in access to information, vindication and preservation of native Peruvian languages. Findings The findings evidenced the importance of the principles of indigenous data sovereignty to respect cultural rights. Also, it was determined that artificial intelligence contributes to the preservation of cultural values of ethnic groups. It also provides verified information in the native language in order to promote inclusion. Finally, this enabling technology proved to be an important resource in reducing social and cultural gaps. Practical implications The use of artificial intelligence will enable the preservation of the native languages of marginalized and ethnic groups. It also favors the dissemination and communication of truthful information in native languages. Originality/value This opinion article highlights a little-explored context in the field of native Peruvian languages. It highlights the contribution that artificial intelligence can bring to ethnic groups, especially in the preservation of their languages and the reduction of the information access gap.

Tópico:

Gender, Health, and Social Inequality

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Información de la Fuente:

SCImago Journal & Country Rank
FuenteJournal of Enabling Technologies
Cuartil año de publicaciónNo disponible
Volumen19
Issue1
Páginas63 - 75
pISSNNo disponible
ISSN2398-6263

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