AI for Critical Interculturality

· Taylor & Francis
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Provocative, interdisciplinary, and daringly critical, AI for Critical Interculturality doesn’t spoon-feed ready-made answers but rather inspires readers to think, question and interrogate interculturality alongside AI.
In a world where AI is often feared as a threat to human intelligence and creativity, the book flips the script by positioning AI as a valuable partner in the study of interculturality as both a scientific and educational notion. How could AI help us dismantle biases, interrogate knowledge production/dissemination and foster deeper self-reflexivity in the broad field of Intercultural Communication Education and Research? What happens when we treat AI not as a passive tool but as an active interlocutor – one that mirrors our ideological blind spots and pushes us toward sharper criticality and reflexivity? Through rich theoretical and conceptual insights, real-world cases and interactive activities, this book equips readers to unmask ideologies in AI-generated knowledge about interculturality; leverage AI as a mirror to expose and confront personal and systemic biases; consider some language stratagems to disrupt linguistic norms in human-AI dialogue. More importantly, the author asks us to forge an ethical and non-utilitarian partnership with AI.
This boundary-shattering work invites students, educators and researchers of interculturality to envision and co-create the future of intercultural studies.

저자 정보

Fred Dervin is a world-renowned interculturalist who has made a strong impact on Intercultural Communication Education and Research over the past 25 years. A Full Professor at the University of Helsinki (Finland), Dervin proposes original and refreshing approaches to understanding the politics of global interactions by challenging conventional paradigms and blending interdisciplinary insights. His work aims to inspire practitioners, researchers and students to rethink and reshape the notion of interculturality. With over 300 publications, Dervin is included in the Stanford Elsevier List of the world’s best scientists (Top 2%).

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