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Predicted: How AI Is Restructuring Social Life with Mona Sloane (U California Press, 2026)
How AI is rewiring our social fabric—and how we can better shape our future.
The age of AI is not what you think. Rather than ushering in a fourth Industrial Revolution, AI has become a crucial social infrastructure of everyday life. It's embedded in the tools, platforms, and systems that organize our most intimate lives and our interactions with the most fundamental institutions of society, from government agencies to banks and schools. In these linkages are embedded assumptions about who we are, what we can do, and where we belong.
In Predicted: How AI Is Restructuring Social Life (U California Press, 2026), Mona Sloane offers a pragmatic framework for understanding these transformations around prediction, classification, and linearity, proposing that we think about AI as a social arrangement that we coproduce. Drawing on over a decade of empirical research and real-world examples, this book invites us to see AI for what it is: deeply social, deeply political, and open to change. Clear-eyed and provocative, Predicted is a call to reclaim deliberations about progress and innovation as a public good and to ensure that the futures we chart are the ones we choose—together.
7 Oct 2026
Learning Under Algorithmic Conditions with Elizabeth de Freitas, Matthew X. Curinga, and Ezekiel J. Dixon-Román (U Minnesota Press, 2026)
What does it mean to learn when algorithms increasingly shape how knowledge is produced, organized, and interpreted? Editors Elizabeth de Freitas, Matthew X. Curinga, and Ezekiel J. Dixon-Román join Shreya Urvashi to talk about their book Learning Under Algorithmic Conditions (U Minnesota Press, 2026), a collection that examines how artificial intelligence and computational systems are changing education, cognition, and ideas of human intelligence. The editors discuss the complexities of algorithm, training data as curriculum, AI bias, and the concept of more-than-human learning. They also explore the relationship between contemporary technologies and colonial forms of reason, the limits of treating bias as a purely technical problem, and what happens to human agency as learning becomes increasingly entangled with algorithmic systems.
4 Oct 2026
Will AI Make Human Labor Obsolete? with Garrison Lovely
Today I’m speaking with Garrison Lovely, technology journalist and author of the new book, Obsolete: The AI Industry's Trillion Dollar Race to Replace Us — and How to Stop It (OR Books, 2026). Garrison’s Obsolete is a fantastic round-up of the most important social and economic challenges posed by AI. I’m thrilled today to have Garrison on The Truth About Bullshit to understand a bit more about the Obsoleting Project.
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