How <scp>AI</scp> Contributes to Poverty Alleviation: A Systematic Literature Review

ABSTRACT Artificial intelligence and smart city initiatives are pivotal to achieving sustainable development goals, particularly in poverty alleviation. Artificial intelligence has high potential in controlling, monitoring, and alleviating poverty, offering innovative solutions that can improve living conditions and welfare. AI‐assisted poverty alleviation requires a comprehensive approach to creating supportive institutions, appropriate regulations, comprehensive training programs, and resource allocation. This article systematically reviews the AI‐poverty literature based on problem‐oriented innovation system functions. By screening existing articles, it analyzes 30 sources specifically focused on AI‐enhanced poverty control to highlight the articles' focus and identify the neglected functions. The findings can help governments, policymakers, and scholars guide decisions to address poverty through AI and fill the existing gaps and shortcomings.

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Publication Details

Journal
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
Published
2025-04-21
DOI
https://doi.org/10.1002/widm.70003
Citations
2
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
2.27
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article

How AI Contributes to Poverty Alleviation: A Systematic Literature Review

Mehdi Fatemi, Fatemeh Parvin, Savita Bhat, Mercedeh Pahlavanian et al.
2 citations
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
Smart Cities and Technologies
2.27
article

How AI Contributes to Poverty Alleviation: A Systematic Literature Review

Mehdi Fatemi, Fatemeh Parvin, Savita Bhat, Mercedeh Pahlavanian, Sepehr Ghazinoory
article en
2 citations

Abstract

ABSTRACT Artificial intelligence and smart city initiatives are pivotal to achieving sustainable development goals, particularly in poverty alleviation. Artificial intelligence has high potential in controlling, monitoring, and alleviating poverty, offering innovative solutions that can improve living conditions and welfare. AI‐assisted poverty alleviation requires a comprehensive approach to creating supportive institutions, appropriate regulations, comprehensive training programs, and resource allocation. This article systematically reviews the AI‐poverty literature based on problem‐oriented innovation system functions. By screening existing articles, it analyzes 30 sources specifically focused on AI‐enhanced poverty control to highlight the articles' focus and identify the neglected functions. The findings can help governments, policymakers, and scholars guide decisions to address poverty through AI and fill the existing gaps and shortcomings.

Wiley Interdisciplinary Reviews Data Mining and Knowledge DiscoveryVol. 15(2)
Tarbiat Modares University (IR), University of Tehran (IR), University of Mazandaran (IR)
Openalex Percentile: Top 12%
Smart Cities and Technologies
2.27
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How <scp>AI</scp> Contributes to Poverty Alleviation: A Systematic Literature Review — Mehdi Fatemi, Fatemeh Parvin, et al. · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) | TGRS Research Map | TGRS