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[Commlist] New book: The Inequality Regime of AI
Thu Jun 25 16:03:10 GMT 2026
Massimo Ragnedda and Maria Laura Ruiu are very pleased to share that
the new book, The Inequality Regime of AI: Power, Allocation, and the
Struggle for Justice is now out with Routledge.
The book examines how artificial intelligence is reshaping the
production and reproduction of inequality. The starting point is that AI
should not be approached only as a technical innovation, a matter of
bias, or a question of digital access. Rather, the authors argue that AI
is becoming an inequality regime: a social, political, and
infrastructural formation through which people are made visible,
classified, ranked, predicted, governed, and sometimes excluded.
The book moves beyond earlier debates on digital divides by focusing on
what we call the allocative turn. In the age of AI, inequality is no
longer only about access to digital technologies or the ability to
participate online. It is increasingly about prediction and allocation:
who controls the data, models, infrastructures, and categories that
shape access to opportunities, resources, rights, recognition, and voice.
The book asks a series of questions that the authors hope will speak to
scholars of media, communication, power, and inequality. Who has the
authority to classify? Who becomes legible to AI systems, and on what
terms? Who is misread, rendered risky, or excluded? Who benefits from
automation, and who performs its hidden labour? Who bears the
environmental costs of intelligent systems? And who gets to define what
intelligence should be for?
Across the chapters, the authors develop concepts such as the AI
stratification spiral, algorithmic habitus, techno-colonialism, digital
feudalism, and redistributive infrastructures. These concepts are used
to examine AI across everyday life, institutions, labour, welfare,
education, environmental systems, data economies, and global relations
of power.
The book's aim is to contribute to a critical but non-fatalistic
discussion of AI. The book argues that questions of AI justice cannot be
reduced to ethics, efficiency, transparency, or technical correction.
They must also be addressed through redistribution, recognition,
representation, and democratic control.
The book details are available on the Routledge website. For colleagues,
journals, or reviewers interested in reviewing the book, review copies
can be requested through the Taylor & Francis review copy request form.
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