Artificial Intelligence for Inclusive Innovation: Investigating how AI-driven information systems can democratize access to opportunities in underserved communities
Year: 2025
Type: article
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.
Author: Chidinma Lydia Ezenwa
Institution: University of Toledo
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4414266296