Generative AI in Salvadoran Higher Education: Case Studies in Equity and Ethics from the Global South

Tizziana Valdivieso, Oscar A. González and Enmanuel Araujo

Chapter 11 in AI-Driven Revolution:Transforming the Business Landscape, 2025, pp 231-258 from World Scientific Publishing Co. Pte. Ltd.

Abstract: This chapter explores the transformative potential of generative AI (GenAI) tools within Salvadoran higher education, analyzing their impact on students, faculty, and administrators. Framed within the socioeconomic realities of the Global South, the study examines how GenAI can address existing inequalities while advancing pedagogical innovation and organizational efficiency. For students, the chapter identifies socioeconomic and digital literacy barriers that shape access and ethical usage, advocating for equitable policies and infrastructure investment. Faculty perspectives reveal the dual role of GenAI as a tool for personalized learning and innovative assessment, alongside concerns about academic integrity and inadequate institutional support. Insights from administrative policies emphasize the need for ethical governance structures to integrate GenAI into institutional frameworks responsibly. Finally, the chapter contextualizes Salvadoran experiences within global conversations on AI in education, offering lessons and strategies for adaptive, culturally responsive approaches. By synthesizing perspectives from diverse stakeholders, this chapter underscores the importance of aligning technological advancements with regional priorities, ensuring that GenAI serves as a democratizing force for inclusive and transformative education.

Keywords: Artificial Intelligence; Data Analytics; AI; Digital Landscape; Organizational Strategies; AI Technologies; Machine Learning; Natural Language Processing; Robotics; Digital Transformation; Business Models; Efficiency; Value Propositions; Advanced Analytics; Predictive Modelling; Customer Experiences; AI-driven; Ethical AI; Data Privacy; Algorithmic Bias; Regulation Compliance; Responsible AI; Sustainable AI; Practical Applications; Business Innovation; Emerging Technologies; Industry 4.0; High Tech; Ethics Regulation; Business Leadership; Pattern Recognition; Information Technology; Entrepreneurs; Management (search for similar items in EconPapers)
JEL-codes: L1 L2 L21 L26 M1 (search for similar items in EconPapers)
Date: 2025
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