Artificial Intelligence for Inclusive Innovation: Investigating how AI-driven information systems can democratize access to opportunities in underserved communitiesc

Artificial Intelligence (AI) is transforming global systems, yet its benefits often bypass underserved communities. This study investigates how AI-driven information systems can democratize access to finance, healthcare, and education, three sectors central to human development. Using a mixed-methods approach combining focus group discussions, key informant interviews, surveys, and literature review the research highlights both opportunities and risks. Evidence shows that AI can expand financial inclusion through alternative credit scoring, enhance healthcare via diagnostic and predictive tools, and personalize education through adaptive learning systems. However, barriers such as infrastructural gaps, algorithmic bias, privacy risks, and low digital literacy threaten to reinforce exclusion. The study concludes that inclusivity in AI is not automatic but requires intentional design, robust governance, digital literacy, and multi-stakeholder collaboration. It positions inclusive AI as essential for equitable innovation and sustainable development.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17758622
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence for Inclusive Innovation: Investigating how AI-driven information systems can democratize access to opportunities in underserved communitiesc

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Artificial Intelligence for Inclusive Innovation: Investigating how AI-driven information systems can democratize access to opportunities in underserved communitiesc

article en

Abstract

Artificial Intelligence (AI) is transforming global systems, yet its benefits often bypass underserved communities. This study investigates how AI-driven information systems can democratize access to finance, healthcare, and education, three sectors central to human development. Using a mixed-methods approach combining focus group discussions, key informant interviews, surveys, and literature review the research highlights both opportunities and risks. Evidence shows that AI can expand financial inclusion through alternative credit scoring, enhance healthcare via diagnostic and predictive tools, and personalize education through adaptive learning systems. However, barriers such as infrastructural gaps, algorithmic bias, privacy risks, and low digital literacy threaten to reinforce exclusion. The study concludes that inclusivity in AI is not automatic but requires intentional design, robust governance, digital literacy, and multi-stakeholder collaboration. It positions inclusive AI as essential for equitable innovation and sustainable development.

Zenodo (CERN European Organization for Nuclear Research)
University of Toledo (US)
Quality Education
Openalex Percentile: Top 48%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.