DOI: 10.11648/j.mlr.20261102.16 ISSN: 2637-5680

Adaptive Artificial Intelligence Models for Enhancing Digital Inclusion and Sustainable Development in Underserved Communities

Joel Charo, Kennedy Hadullo
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Technology is playing a vital role across various sectors like education, healthcare, agriculture, financial services, employment, governance, and social development. However, we still see significant digital inequalities, especially in underserved communities, particularly in rural and low-income areas. Here, challenges such as limited connectivity, high technology costs, lack of digital skills, language barriers, and inaccessible digital services hinder meaningful participation in the digital economy. This conceptual paper delves into how adaptive Artificial Intelligence (AI) models can boost digital inclusion and support sustainable development in these communities. It brings together insights from literature on artificial intelligence, digital inclusion, adaptive learning, responsible AI, and sustainable development. The paper introduces the Adaptive AI Digital Inclusion and Sustainable Development (AIDISD) framework, which is built around five key dimensions: accessibility, personalization, contextual adaptation, resource efficiency, and community empowerment. It explores potential applications in education, healthcare, agriculture, financial inclusion, employment, and public services. Additionally, the paper highlights challenges related to infrastructure, data scarcity, algorithmic bias, privacy, cybersecurity, affordability, digital literacy, and institutional capacity. The analysis emphasizes that adaptive AI should be viewed as part of a larger socio-technical strategy rather than just a standalone tech solution. For inclusive deployment, we need local participation, suitable infrastructure, responsible data governance, human oversight, and ongoing evaluation. Ultimately, the paper concludes that well-designed adaptive AI systems can foster more inclusive and sustainable digital ecosystems, provided they are affordable, locally relevant, accessible, transparent, and aligned with the Sustainable Development Goals.

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