New Books in Science, Technology, and Society

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.

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Social media giants like Meta and transnational regulators such as the European Union are transforming private governance by creatively emulating public law frameworks. Drawing on exclusive interviews and in-depth analysis of Meta's Oversight Board and the EU's Digital Services Act, Governance by Emulation: The Oversight Board, the Digital Services Act, and the Struggle for Platform Accountability (Cambridge UP, 2026) explores how these approaches blend European and American perspectives, bridging distinct legal traditions to address the challenges of platform governance. Analysis of content moderation practices and their implications uncovers a critical pattern in the evolution of governance for industries that will define the future, from digital platforms to emerging technologies. Combining public and private law in innovative ways, the book sheds light on bold governance experiments that will shape the digital world-for better or worse. This study offers crucial insights for understanding the next chapter of global governance in an increasingly interconnected and privatized world. This title is also available as Open Access on Cambridge Core.
Find Moritz here

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This is the first episode in a series that explores the intersections of science and the humanities in university life. In today’s conversation, Jeffrey Herlihy-Mera is joined by artists Yasmín Hernández and Baruch Vergara for a discussion about Herlihy-Mera's article “The humanities should really matter to STEM disciplines.” They explore the relationship that art and the humanities have with science, technology, engineering, and mathematics—and consider why that relationship matters more than ever.
The discussion begins with a central question: What can the arts and humanities contribute to STEM education? If art cultivates forms of observation, experimentation, imagination, interpretation, and creative problem-solving that are essential to scientific and technological work, how can educators work within institutions that separate the Humanities from STEM experiences? What might change if scientists used art and visual thinking as approaches to problem solving? How would science change if art became a tool for empirical inquiry? And, looking in the other direction, what can science teach the humanities about the mind, perception and the boundaries of what we know?
These questions become especially urgent in the age of artificial intelligence.
This series asks us to reconsider the boundaries between disciplines. At stake is more than the future of the university. It is what kinds of intelligence we want our universities to cultivate - and also, what kinds of experiences we want students to have as they learn, explore, and make sense of their worlds.
The Instituto Nuevos Horizontes is housed at the Universidad de Puerto Rico-Mayagüez.
Quotes, themes, and ideas from this conversation:

• The STEM-ification of the university, expansion of majors and programs
• Decline and elimination of humanities, arts, and language programs
• When engineering is a model for other disciplines
• “STEAM” initiatives that add Arts to STEM
• Emphasis on technical skills over interpretive faculties
• “Career readiness” over “citizenship” as an institutional objective
• The STEM-ification of the university

“Painting is solving a problem on canvas.” -Yasmín Hernández
“Children are conditioned to make that division (between STEM and the Arts) since elementary school.” -Yasmín Hernández
“Experimentation is what brings curiosity. It is not a precise thing. Art is a new way to look.” -Baruch Vergara
“An image can express a pre-linguistic relationship that we have with the idea.” -Jeffrey Herlihy-Mera
“Play is the first form of experimentation...you free yourself from the expected outcome.” -Yasmín Hernández
“From art comes a new level of awareness, freeing ourselves from the expected outcome to access something that is beyond.” -Yasmín Hernández
“Music is an activity that can access concepts that are beyond consciousness.” -Jeffrey Herlihy-Mera

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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.

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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). Artificial intelligence is perhaps the most discussed and most misunderstood topic today. Even to the experts and captains of industry, the frontier large language models are essentially black boxes. AI poses many reasons to be both skeptical and optimistic, yet it also poses a fundamental threat to our current economic order and social contract. If AI succeeds, what will it mean for workers, consumers, and the huddled masses who do not own the multi-trillion dollar companies directing the global economy? Garrison Lovely has coined the term, Obsoleting Project to describe the goal of AI companies to build machines that outperform humans on nearly every task. It reimagines technology, not as a tool of efficiency, but rather as a tool that replaces labor full-stop. What happens to our society if they succeed? 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.
Caleb Zakarin is CEO and Publisher of the New Books Network.

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