The cognitive impact of AI-generated content on sexual and reproductive health cognition among women in Africa and Latin America: opportunities, challenges, and future paths

AI-Generated Content (AIGC) is reshaping information landscapes in Africa and Latin America, impacting women's Sexual and Reproductive Health and Rights (SRHR) cognition. This paper explores AIGC's dualistic role through systematic literature synthesis, critical analysis of reports from international health organizations and government agencies, and the development of illustrative case scenarios grounded in documented experiences from these regions. Rather than presenting primary ethnographic data, this conceptual analysis synthesizes existing evidence and constructs contextually informed vignettes to illuminate the complex interplay between emerging technology, cultural contexts, and health cognition. The study highlights the digital divide, cultural factors, and trust as crucial mediators, demonstrating AIGC's dual potential: a tool for empowerment by improving information accessibility, personalization, and discussion of sensitive issues, yet also a risk for exacerbating inequalities through misinformation, algorithmic bias, and ethical concerns. It underscores women's active negotiation of AIGC within their specific socio-cultural contexts. The paper proposes strategic recommendations for technology developers, health systems, and policymakers to responsibly leverage AIGC, promoting a human-centric, equitable, and culturally sensitive approach to foster health equity.

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Publication Details

Journal
African Journal of Reproductive Health
Published
2026-02-17
DOI
https://doi.org/10.29063/ajrh2026/v30i3.3
Primary Topic
Menstrual Health and Disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

The cognitive impact of AI-generated content on sexual and reproductive health cognition among women in Africa and Latin America: opportunities, challenges, and future paths

Hongcai Chen, Guiping Zhang
African Journal of Reproductive Health
Menstrual Health and Disorders
article

The cognitive impact of AI-generated content on sexual and reproductive health cognition among women in Africa and Latin America: opportunities, challenges, and future paths

Hongcai Chen, Guiping Zhang
article en

Abstract

AI-Generated Content (AIGC) is reshaping information landscapes in Africa and Latin America, impacting women's Sexual and Reproductive Health and Rights (SRHR) cognition. This paper explores AIGC's dualistic role through systematic literature synthesis, critical analysis of reports from international health organizations and government agencies, and the development of illustrative case scenarios grounded in documented experiences from these regions. Rather than presenting primary ethnographic data, this conceptual analysis synthesizes existing evidence and constructs contextually informed vignettes to illuminate the complex interplay between emerging technology, cultural contexts, and health cognition. The study highlights the digital divide, cultural factors, and trust as crucial mediators, demonstrating AIGC's dual potential: a tool for empowerment by improving information accessibility, personalization, and discussion of sensitive issues, yet also a risk for exacerbating inequalities through misinformation, algorithmic bias, and ethical concerns. It underscores women's active negotiation of AIGC within their specific socio-cultural contexts. The paper proposes strategic recommendations for technology developers, health systems, and policymakers to responsibly leverage AIGC, promoting a human-centric, equitable, and culturally sensitive approach to foster health equity.

African Journal of Reproductive HealthVol. 30(4)
Minjiang University (CN), Fujian University of Technology (CN), Silpakorn University (TH)
Openalex Percentile: Top 56%
Menstrual Health and Disorders
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The cognitive impact of AI-generated content on sexual and reproductive health cognition among women in Africa and Latin America: opportunities, challenges, and future paths — Hongcai Chen, Guiping Zhang · African Journal of Reproductive Health (2026) | TGRS Research Map | TGRS