DIGITAL INEQUALITY IN THE AGE OF AI:

Abstract

Learning, work and communication have been significantly transformed through Artificial Intelligence (AI) creating new possibilities for social and economic growth. However, there is an unequal access to AI resources and therefore, this unevenness will increase already existing problems with digital inequality. This interdisciplinary research looks at how digital inequality affects educational attainment and social inclusion in this new AI world. For example, Learning Management Systems (LMS), Adaptive Learning Technologies (ALT), and Intelligent Tutoring Systems (ITS) offer individualized ways to facilitate personalized learning. However, marginalized populations will not have access to digital resources, adequate training or AI knowledge making them unable to benefit from technological advances in education and social services. The examination of educational, technological, sociological and public policy perspectives shows the impact of algorithmic bias, inequity of data, exclusionary language and varying access to technology, as well as how these factors contribute to enlarging opportunity gaps and increasing social exclusion in education. Furthermore, the study addresses the ethical and socially responsible aspects of these technologies by stressing inclusive design, equitable access to AI, transparent governance, cultural responsiveness in the development of the technology, and establishing a common language across various disciplines. This study presents findings through a primary literature review and an analysis of recently developed policy frameworks and thus, demonstrates successful strategies for digital equity, such as: AI literacy training for teachers and students, creating and implementing equitable educational policy, supporting public-private partnerships to implement and promote digital equity, and creating human-centered AI development. Furthermore, the findings indicate that addressing digital inequity is necessary for establishing digital equity, so that AI will be used as a means of empowerment rather than exclusion in digital society. The conclusion of this study is a set of recommendations for creating equitable, inclusive, and socially responsible AI ecosystems that promote educational opportunity and social engagement for all members of society.