Walking Makes The Road

Introduction This brief lab note examines the theoretical and conceptual intersections between Artificial Intelligence (AI), ethnocentrism, and cultural relativism. As AI systems increasingly mediate global communication, knowledge production, and cultural interaction, a fundamental question arises: can these technologies embody cultural neutrality, or do they propagate ethnocentric biases rooted in Western epistemologies? Drawing on foundational anthropological concepts and contemporary scholarship, this text argues that AI is not culturally neutral but rather shaped by the historical and political structures in which it is developed. It concludes with recommendations for designing AI systems informed by cultural relativism, decolonial theory, and inclusive ethics. 1. Why Anthropology Must Engage AI The digital age has introduced complex sociotechnical systems that challenge traditional anthropological boundaries. Among the most transformative of these systems is Artificial Intelligen...

Introduction Artificial Intelligence (AI) is transforming nearly every sector, including education. As universities confront the accelerating pace of digital transformation, AI emerges not only as a technological innovation but also as a socio-cultural phenomenon that warrants critical sociological reflection. For a sociologist, AI presents an intersectional inquiry into power, equity, human-machine interaction, epistemology, and institutional transformation. This short note offers an in-depth examination of AI in the context of higher education, exploring its practical applications, ethical implications, and sociological consequences. Understanding Artificial Intelligence AI can be broadly defined as the ability of machines or software systems to perform tasks that typically require human intelligence. These include learning, reasoning, problem-solving, perception, and language understanding. In educational settings, AI reveals itself through adaptive learning platforms, intelligent t...