AI for Critical Interculturality
Fred Dervin
About this book
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.
Questions & Answers from this book
Questions and answers are connected to the referenced book and its available source material.
Chapter 1: Variation 1: Introduction: Beyond fervour and a sense of purpose?
How can Hugging Face's Bias Metrics be used to audit AI outputs in the context of critical interculturality?
Hugging Face's Bias Metrics can be used in critical interculturality work by measuring whether AI outputs contain toxic, polarised, or hurtful language linked to demographic categories such as gender or race. Users can audit their AI-mediated discussions by comparing prompts and counter-narratives, for example asking for a description of a Pakistani wedding and then asking for one that challenges stereotypes, and observing how bias scores shift.
What is Affectiva and how can it be applied to analyze emotions in intercultural interactions?
Affectiva is an Emotion AI technology that captures and analyzes real-time human behavior and emotions through facial expressions, gestures, and other non-verbal clues, using a face tracker and camera sensors without predicting demographics. In intercultural interactions, it can be applied to online workshops or discussions by tracking emotional cues such as confusion, frustration, and engagement, providing metrics on dominant emotions during key moments and variations between participants. This helps reflect on how emotions are situational and how people adapt, resist, or hybridize their reactions, avoiding essentialism and supporting training in intercultural communication, debiasing, and emotional awareness.
How does the skeletal figure in Paul Klee's 'Death for the Idea' relate to the theme of sacrifice for an idea?
The skeletal figure, often read as a martyr or thinker lying prone, embodies the sacrifice of the individual for an idea. Klee's title and imagery suggest that physical death serves a greater intellectual or creative pursuit, with the body giving way to the idea's immortality.