Artificial intelligence as an enabler of financial inclusion and financial education in Indigenous people

Purpose The purpose of this article is to demonstrate how artificial intelligence (AI) enables financial education and inclusion for Indigenous communities in Peru. Design/methodology/approach An analysis of the context of AI in the field of financial education and inclusion in Peru was conducted. Subsequently, the study highlighted the case of the digital tool Illariy, which uses AI to educate on savings habits and financial products in Indigenous languages (Quechua, Aymara and Shipibo-Konibo). Finally, the contributions of AI to financial inclusion for Peruvian Indigenous communities were reflected upon. Findings The study evidenced that AI can reduce linguistic and cultural barriers by promoting financial inclusion for Peru’s Indigenous communities. Illariy, an avatar developed in the Quechua language, enables the preservation and valorization of cultural traditions, fostering trust in the financial system. Additionally, the importance of integrating enabling tools to disseminate information in Indigenous languages and revitalize endangered languages is highlighted. Practical implications The use of AI allows for the preservation of Indigenous languages spoken by financially marginalized groups. It also facilitates the dissemination and communication of financial information in Indigenous languages. Originality/value This article addresses a scarcely explored context within Peruvian Indigenous communities, emphasizing the contributions that AI can make to financial education and inclusion.

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Publication Details

Journal
Journal of Enabling Technologies
Published
2025-10-09
DOI
https://doi.org/10.1108/jet-01-2025-0007
Primary Topic
Financial Literacy, Pension, Retirement Analysis
Type
article
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article

Artificial intelligence as an enabler of financial inclusion and financial education in Indigenous people

César Jhonnatan Horna-Saldaña, Luis Mendiola-Contreras
Journal of Enabling Technologies
Financial Literacy, Pension, Retirement Analysis
article

Artificial intelligence as an enabler of financial inclusion and financial education in Indigenous people

César Jhonnatan Horna-Saldaña, Luis Mendiola-Contreras
article en

Abstract

Purpose The purpose of this article is to demonstrate how artificial intelligence (AI) enables financial education and inclusion for Indigenous communities in Peru. Design/methodology/approach An analysis of the context of AI in the field of financial education and inclusion in Peru was conducted. Subsequently, the study highlighted the case of the digital tool Illariy, which uses AI to educate on savings habits and financial products in Indigenous languages (Quechua, Aymara and Shipibo-Konibo). Finally, the contributions of AI to financial inclusion for Peruvian Indigenous communities were reflected upon. Findings The study evidenced that AI can reduce linguistic and cultural barriers by promoting financial inclusion for Peru’s Indigenous communities. Illariy, an avatar developed in the Quechua language, enables the preservation and valorization of cultural traditions, fostering trust in the financial system. Additionally, the importance of integrating enabling tools to disseminate information in Indigenous languages and revitalize endangered languages is highlighted. Practical implications The use of AI allows for the preservation of Indigenous languages spoken by financially marginalized groups. It also facilitates the dissemination and communication of financial information in Indigenous languages. Originality/value This article addresses a scarcely explored context within Peruvian Indigenous communities, emphasizing the contributions that AI can make to financial education and inclusion.

Journal of Enabling TechnologiesVol. 19(3)
Esan University (PE)
Openalex Percentile: Top 59%
Financial Literacy, Pension, Retirement Analysis
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Artificial intelligence as an enabler of financial inclusion and financial education in Indigenous people — César Jhonnatan Horna-Saldaña, Luis Mendiola-Contreras · Journal of Enabling Technologies (2025) | TGRS Research Map | TGRS