Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12323/8236
Title: Navigating the Role of AI in Research in the Global South: A Collective Autoethnography From Researchers in the Philippines, Iraq, and Malaysia
Authors: Giray, Louie
Alkhaqani, Ahmed
Kamaruddin, Nurliana
Keywords: Academic integrity
Artificial intelligence
Collective autoethnography
Digital divide
Global South
Higher education
Research productivity
Issue Date: 2025
Publisher: Khazar University Press
Series/Report no.: Vol. 28;Khazar Journal of Humanities and Social Sciences, № 4
Abstract: This paper investigates the transformative impact and ethical dilemmas of integrating artificial intelligence into the workflows of researchers from the Global South, specifically the Philippines, Iraq, and Malaysia. Through collective autoethnography, the authors analyze how AI tools function as both equalizers and disruptors in resource-constrained academic environments. The findings reveal that AI significantly enhances productivity by dismantling language barriers for non-native English speakers, streamlining literature searches, and democratizing access to global scholarship. However, these benefits are accompanied by profound challenges, including the risk of over-reliance, the proliferation of AI hallucinations, and the potential erosion of critical thinking skills. The authors confront the tension between efficiency and intellectual integrity, grappling with the existential question of whether reliance on AI reduces scholars to mere prompt engineers. Furthermore, the paper highlights how algorithmic bias and infrastructure disparities exacerbate the digital divide within local academic communities. The paper concludes that while AI offers unprecedented opportunities for Global South researchers, it requires a shift toward critical AI literacy and ethical governance to prevent the widening of existing knowledge gaps. This study calls for a human-centric approach where AI serves as a support mechanism.
URI: http://hdl.handle.net/20.500.12323/8236
ISSN: 2223-2621
2223-2613
Appears in Collections:2025, Vol. 28, № 4

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