Automated Islamophobia: The future of AI and Muslims

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Bol Automating Islamophobia exposes how AI perpetuates global Islamophobia. It challenges the myth of AI’s objectivity, questioning if change is possible in a system rooted in historical biases. As nations vie for AI dominance, the book calls for critical engagement to resist its role in amplifying injustice and inequality. As AI becomes deeply embedded in the fabric of society, we must urgently confront its role in amplifying Islamophobia on a global scale. Rejecting the recent AI hype, Automating Islamophobia challenges the illusion of AI’s objectivity and, given the dangers associated with Islamophobia, calls for a more critical engagement with these technologies and to consider their biases. From the extraction of data for purposes such as counter-terrorism to the use of AI in warfare, this book examines the harms of AI while envisioning a more just future. Rather than propose that increased Muslim representation in these industries can mitigate these issues, Automating Islamophobia critically questions whether such solutions are viable within a fundamentally flawed system. As is argued in the book, AI is not inevitable but, rather, it is the product of political ideologies. With nations competing to become the next ‘AI leader’, it is more important than ever to understand how AI seeks to reinforce state power and deepen the injustices and inequalities faced by Muslim communities. As AI becomes deeply embedded in society, Automating Islamophobia challenges the myth of its objectivity and exposes its role in amplifying global Islamophobia. Rejecting the AI hype, this book critically examines how AI-driven surveillance, counterterrorism, and warfare harm Muslim communities while reinforcing state power. Instead of advocating for increased Muslim representation in tech as a solution, it questions whether meaningful change is possible within a flawed system. Arguing that AI is not inevitable but shaped by political ideologies, the book urges a more critical engagement with these technologies. As nations race to lead in AI development, understanding its role in deepening injustice and marginalisation is more urgent than ever. Automating Islamophobia envisions a future that resists these harmful structures and rethinks AI’s place in society.

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Automating Islamophobia exposes how AI perpetuates global Islamophobia. It challenges the myth of AI’s objectivity, questioning if change is possible in a system rooted in historical biases. As nations vie for AI dominance, the book calls for critical engagement to resist its role in amplifying injustice and inequality. As AI becomes deeply embedded in the fabric of society, we must urgently confront its role in amplifying Islamophobia on a global scale. Rejecting the recent AI hype, Automating Islamophobia challenges the illusion of AI’s objectivity and, given the dangers associated with Islamophobia, calls for a more critical engagement with these technologies and to consider their biases. From the extraction of data for purposes such as counter-terrorism to the use of AI in warfare, this book examines the harms of AI while envisioning a more just future. Rather than propose that increased Muslim representation in these industries can mitigate these issues, Automating Islamophobia critically questions whether such solutions are viable within a fundamentally flawed system. As is argued in the book, AI is not inevitable but, rather, it is the product of political ideologies. With nations competing to become the next ‘AI leader’, it is more important than ever to understand how AI seeks to reinforce state power and deepen the injustices and inequalities faced by Muslim communities. As AI becomes deeply embedded in society, Automating Islamophobia challenges the myth of its objectivity and exposes its role in amplifying global Islamophobia. Rejecting the AI hype, this book critically examines how AI-driven surveillance, counterterrorism, and warfare harm Muslim communities while reinforcing state power. Instead of advocating for increased Muslim representation in tech as a solution, it questions whether meaningful change is possible within a flawed system. Arguing that AI is not inevitable but shaped by political ideologies, the book urges a more critical engagement with these technologies. As nations race to lead in AI development, understanding its role in deepening injustice and marginalisation is more urgent than ever. Automating Islamophobia envisions a future that resists these harmful structures and rethinks AI’s place in society.


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