Integrating Artificial Intelligence in Ethiopian Education System: the Need for Policy Intervention

Abstract

AI offers transformative opportunities to strengthen education systems in developing countries. It enhances teaching and learning through personalized and adaptive platforms, promotes equitable access, and streamlines administrative processes for greater efficiency. It supports research and innovation by enabling advanced data analysis, efficient literature reviews, and predictive modeling. Besides, it facilitates smart content creation, automated grading, and virtual tutoring, improving both educator capacity and student outcomes.  Despite its vast potential, the integration of AI in education faces significant challenges, particularly in the Global South. Key obstacles include the digital divide, infrastructure gaps, and limited access to digital tools and connectivity. Financial constraints further hinder investment in AI technologies and capacity building. Besides, there is a widespread lack of awareness and digital literacy among educators and learners, limiting effective AI adoption. Concerns around data privacy, security, ethical implications, and regulatory gaps pose risks to safe AI usage. Other challenges include misinformation, factual inaccuracies, and AI’s inability to fully address linguistic and cultural contexts. Moreover, an over-reliance on AI may undermine critical thinking, creativity, and emotional intelligence, potentially dehumanizing the educational experience. To harness the benefits of AI in education while addressing its challenges, the conference proposed several key policy recommendations. These include developing national and institutional ethical frameworks for AI, investing in digital infrastructure and expanding access, and ensuring robust cyber security and data protection measures. Strengthening teacher training and AI literacy programs is crucial, alongside implementing AI detection tools to promote ethical and responsible use.