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This timely edited volume challenges the potentially simplistic blame narratives surrounding AI, urging instead a shared ethical responsibility among users, researchers, policymakers and others.
Rejecting the notion of AI as an autonomous 'evil', the book interrogates how human choices embedded in power structures, colonial legacies, and ideological frameworks can shape AI's impact on intercultural relations. Through decolonial critiques, dialogic experiments, and perspectives from the Global South, the contributors expose algorithmic biases, epistemic injustices, and governance gaps, while advocating for collective agency. From African Ubuntu ethics to Moroccan linguistic and cultural equity, and the political economy of creative industries, the book portrays AI as a mirror of human complexities and contradictions, rather than a scapegoat.
A vital resource for students and scholars of intercultural communication, education and research, this book calls for reflexive engagement with AI, emphasising co-accountability over unfounded dread.
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This timely edited volume challenges the potentially simplistic blame narratives surrounding AI, urging instead a shared ethical responsibility among users, researchers, policymakers and others.
Rejecting the notion of AI as an autonomous 'evil', the book interrogates how human choices embedded in power structures, colonial legacies, and ideological frameworks can shape AI's impact on intercultural relations. Through decolonial critiques, dialogic experiments, and perspectives from the Global South, the contributors expose algorithmic biases, epistemic injustices, and governance gaps, while advocating for collective agency. From African Ubuntu ethics to Moroccan linguistic and cultural equity, and the political economy of creative industries, the book portrays AI as a mirror of human complexities and contradictions, rather than a scapegoat.
A vital resource for students and scholars of intercultural communication, education and research, this book calls for reflexive engagement with AI, emphasising co-accountability over unfounded dread.