New Books in Artificial Intelligence

Reconceiving AI: The World as an Apple or a Blue Orange (CRC Press, 2026) is Muhammed Hasan’s interdisciplinary exploration of Artificial Intelligence from philosophical, computational, linguistic and engineering perspectives. Using analogies and metaphors of Apple and Orange, the author conveys complex concepts about human perception and language limitations, as well as his perception of modern AI systems. He also holds that true visual intelligence would involve constructing a visual world similar to how humans do, rather than just analysing pixel-level information. Referencing Paul Cézanne’s philosophy, the author illustrates how language creates division between symbolic identity and personal experience, resulting in an inherent gap that leads to endless desire for new expression.

The book discusses three dimensions of moral intelligence: temporal consciousness—an understanding causality and counterfactual reasoning; self-reflection—the recognition of oneself as the same person over time; and ethical intelligence— shared laws and frameworks for society. The author emphasises the need to question whether AI should mirror human intelligence or exist as a complementary form, suggesting a future where AI and humans might coexist in a more integrated way rather than as separate entities.

Mariam Olugbodi is a university teacher and a writer, she is the author of the monograph titled: “Stylistic Features in the 2011 and 2012 Final Matches Commentaries in the UEFA Champions League”, published by Grin Verlag. Mariam’s greatest dream is seeing a world where knowledge is accessible to all. She does this through her volunteering roles on open knowledge platforms as a host and an editor. As part of her effort to maintain inclusion and diversity in knowledge transmission, she volunteers as a teacher in crises contexts. Learn more and connect with Mariam through her social links on LinkedIn | ORCID | Meta

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In Good Vibes Only: Phenomenology and the Biopolitics of Algorithmic Legitimation, Robin James argues that “vibes” have become a way for how we see ourselves and understand our tastes, as well as how corporations and governments see us in order to categorize and control. Vibes, according to James, are an orientation that situate beings and things in space with others, closer to some things than others, facing is certain directions, and more likely to be grouped together. Drawing from a diverse set of theoretical and methodological perspectives, including continental feminist philosophy, critical philosophy of race, phenomenology, and popular music studies, James walks the reader through how vibes are understood, the mathematical models that vibes are based on, and how vibes function as a new form of biopower and therefore as a means of categorization and control.

You can find a transcript of our conversation here.

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Is artificial intelligence (AI) a question answering machine, a helpful companion, a persuasive storyteller, a deceitful often hidden system, or a global industry?

In AI for the Information Professional: A Critical Guide (Facet, 2026), Andrew Cox invites library and information professionals to reflect on the exciting and troubling concept of AI and the impact it is having on their work and the library and information sector more broadly. Blending practical tips and activities with critical insight, the book equips readers to make informed choices about when - and how - to use AI, answering a range of key questions.

With a distinctive narrative approach, AI for the Information Professional is an engaging, accessible exploration of the stories we tell about AI - and how those stories influence its role in our institutions. Written by one of the leading experts on AI in the sector, this book is an essential, hands-on companion for librarians and information professionals seeking to navigate uncertainty, champion responsible innovation, and shape the future of their field.

Andrew Cox is Senior Lecturer in the School of Information, Journalism and Communication at the University of Sheffield. He has been working in the LIS field for two decades and been writing about AI and libraries for nearly half that time. He is convenor of the IFLA Special Interest Group on AI and is a past chair of the ASIS&T SIG on AI. He has previously published AI for Knowledge (co-authored with Mike Thelwall).

Dr. Michael LaMagna is a Professor of Library Services and served for ten years as the Information Literacy Program and Library Services Coordinator at Delaware County Community College.

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Today’s book is: The Last Human Job: The Work of Connecting in a Disconnected World (Princeton UP, 2024), by Dr. Allison Pugh, which explores the human connections that underlie our work, arguing that what people do for each other is valuable and worth preserving. Drawing on in-depth interviews and observations with people in a broad range of professions—from physicians, teachers, and coaches to chaplains, therapists, caregivers, and hairdressers—Dr. Pugh develops the concept of “connective labor,” a kind of work that relies on empathy, the spontaneity of human contact, and a mutual recognition of each other’s humanity. The threats to connective labor are not only those posed by advances in AI or apps; Dr. Pugh demonstrates how profit-driven campaigns imposing industrial logic shrink the time for workers to connect, enforce new priorities of data and metrics, and introduce standardized practices that hinder our ability to truly see each other. She concludes with profiles of organizations where connective labor thrives, offering practical steps for building a social architecture that works. Vividly illustrating how connective labor enriches the lives of individuals and binds our communities together, The Last Human Job is a compelling argument for us to recognize, value, and protect humane work in an increasingly automated and disconnected world.

Our guest is: Dr. Allison Pugh, who is Professor of Sociology at Johns Hopkins University, and the 2024-25 Vice President of the American Sociological Association. She writes about how people forge connections and find meaning and dignity at work and at home. She is the author of The Tumbleweed Society: Working and Caring in an Age of Insecurity and Longing and Belonging: Parents, Children, and Consumer Culture. Her writing has appeared in leading publications such as The New Yorker, the New York Times, and the New Republic.

Our host is: Dr. Christina Gessler, the producer of the Academic Life podcast. She holds a PhD in history, which she uses to explore what stories we tell and what happens to those we never tell.

Playlist for listeners:

• Talking To Strangers
• Making A Meaningful Life
• How to Human
• Artificial Unintelligence: How Computers Misunderstand the World
• More Than A Glitch
• Meditation and the Academic Life
• Belonging: The Science of Creating Connection and Bridging Divides

Welcome to Academic Life, the podcast for your academic journey—and beyond! You can support the show by posting, assigning or sharing episodes. Join us again to learn from more experts inside and outside the academy, and around the world. Missed any of the 225+ Academic Life episodes? You’ll find them all archived here.

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Introduction to the new show, and a discussion of our AI moment with host, Lee Vinsel, co-host Paula Bialski, correspondents, Gretchen Von Koenig, and Javaid Sofi, as well as special guests danah boyd and Adam Wynne.

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Will artificial intelligence soon be fighting our wars for us? Could a machine ever command an army? Anthony King is skeptical. In AI, Automation, and War: The Rise of a Military-Tech Complex (Princeton University Press, 2025), he argues that AI is changing war less by replacing soldiers than by bringing civilian tech experts into the headquarters where wars are run.

The conversation begins with how the September 11 attacks turned King toward war, and with his quarter-century of tracing changes in warfare. Then, drawing on 126 interviews across the United States, Britain, and Israel, King explains why AI can be intelligent without being an agent. King takes us inside his research, from Palantir's London office to confidential interviews with Israeli officers. He also previews his next project, a five-year, EU-funded study of the teams forming around AI software in military headquarters.

The machines are not taking over, King insists. Whether that is reassuring depends on how much we trust the humans still in charge.

Our guest is Anthony King, Professor of War Studies and Director of the Strategy and Security Institute at the University of Exeter.

Our host is Eleonora Mattiacci, an Associate Professor of Political Science at Amherst College. She is the author of "Volatile States in International Politics" (Oxford University Press, 2023). 

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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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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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Since the advent of computers, society has fantasized about conversing with machines. In Divination Engines: Natural Language Processing, Artificial Intelligence, and the Making of Algorithmic Culture (University of Chicago Press, 2026), Dr. Xiaochang Li shows readers how that dream both fueled the demand for data and set the stage for today’s generative AI.

With original research and clear explanations, Dr. Li elucidates the origins of what’s known as natural language processing (NLP) and the heated twentieth-century debates between computer scientists, linguists, and communication engineers that shaped today’s technology. Starting with early devices that recorded, analyzed, and attempted to interpret human speech, she demonstrates how computer speech recognition, particularly efforts led by Bell Labs and IBM, advanced technology by deemphasizing linguistic meaning in favor of statistical prediction. In other words, researchers gradually abandoned systems that sought to understand human language, opting instead for work-arounds that simply predicted patterns in speech and text data. That solution became incredibly and surprisingly adaptable. As Dr. Li reveals, transforming linguistic questions into engineering ones ushered in the routine operation of search engines, spam filters, and the varied content sorting and recommendation mechanisms that regulate the access, circulation, and legitimacy of information across every platform. But this has all come at the cost of forever requiring copious and ever-growing amounts of new data.

At its core, Divination Engines illuminates how the artifacts of human communication—speech, text, and images—have become both the fodder for and products of computers. This connection between communication and computation, Li shows, has given rise to data-driven analytics, machine learning, and today’s algorithmic culture.

This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda’s interviews on New Books with Miranda Melcher, wherever you get your podcasts. 

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What if AI’s biggest impact on journalism isn’t replacing journalists, but forcing us to rethink what journalism is for?

In this episode, Joanne Kuai speaks with Seth C. Lewis, Rodrigo Zamith, and Tomás Dodds, authors of Journalism in the Age of AI: From Acceleration to Reimagination (Polity, 2027).

For decades, journalism has been caught on a “hamster wheel” of acceleration: producing more stories, for more platforms, with fewer resources. AI promises even greater efficiency, but is doing more with less really what journalism needs?

Lewis, Zamith, and Dodds argue that the current AI moment offers something more consequential: an opportunity to reimagine journalism itself. The conversation explores what remains distinctly human about journalism when machines can increasingly perform creative and cognitive tasks; how dependence on AI companies and digital infrastructure is reshaping media power; what AI means for journalism education and human judgement; and whether journalism can harness these technologies in ways that strengthen, rather than erode, its democratic purpose.

The conversation also raises a more fundamental question: is preserving journalism as an institution the goal, or should we rethink how society meets its information needs altogether?

Journalism in the Age of AI is available open access. Learn more and access the book here.

About the authors

Seth C. Lewis is the inaugural Elcan Jefferson Scholars Foundation Distinguished Professor of Artificial Intelligence and Media Studies at the University of Virginia. Previously, he was the founding holder of the Shirley Papé Chair in Emerging Media and Director of Journalism at the University of Oregon. In his research, Lewis examines the social implications of emerging technologies and their consequences for news and public life.

Rodrigo Zamith is an Associate Professor and former Chair of the Journalism Department at the University of Massachusetts Amherst. His research and teaching interests lie at the intersection of journalism and technology, with a focus on understanding the social implications of emerging technologies for how news is produced, distributed, and consumed. He is a recipient of UMass’ Distinguished Teaching Award.

Tomás Dodds is an Assistant Professor in Journalism and Mass Communication at the University of Wisconsin-Madison and the Director of its Public Tech Media Lab. His research examines the evolving relationship between journalism and technology, with a focus on how journalists and media organizations can develop open-source tools and artificial intelligence systems that serve the public interest.

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Beyond the Facts: Tacit Knowledge and the Hidden Infrastructure of Our Informed Times (Bloomsbury, 2025) describes tacit knowledge, what it is, how it used and its role in our current data driven world. Author James Cortada argues that fuzzy, hard-to describe information is greater and more, important than just hard facts. What is tacit knowledge? It is what we might consider knowledge that is unable to be fully communicated; knowledge that we understand implicitly, but it is a bit hard to explain. For example, it is the kind of knowledge one needs to ride a bicycle, but that cannot be described precisely on paper in the way one might be able to explain how to cook a dish. Tacit knowledge is the least understood type of information and one of the most difficult to communicate. Yet there is more tacit knowledge in our lives than the specific facts one can find in a book, on the Internet or in the simple form of a fact. This book is designed to introduce the reader to the concept of tacit knowledge and how to recognize and use it. This book offers definitions of tacit knowledge and compares the topic to explicit knowledge, then describes how the former is used today. The author argues that both types are used today and explains how one can use both types of knowledge in their lives. This book is essential primer to understanding tacit knowledge and learning how to use it to your advantage.

Guest: James (Jim) Cortada is a senior research fellow at the University of Minnesota. He is a leading authority on the role of modern information. He holds a PhD in modern history but worked at IBM Corporation for nearly 40 years in sales and consulting. He has written several books on the business history of the computer industry and just over a dozen on the history and use of information over the past two centuries. So, he straddles the subject between historical evolution and its current uses.

Host: Dr. Michael LaMagna is the Information Literacy Program & Library Services Coordinator and Professor of Library Services at Delaware County Community College.

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Long before Google, Amazon, or Microsoft, computer technology shaped how people worked, how markets operated, and how businesses became big. After World War II, military officials and their partners in industry looked to the newly invented electronic computer as they sought to cut costs, speed up labor, manage supply chains, and—they hoped—bring stability to the postwar economy. Their efforts would shape early computer science and the first applications of computer technology in manufacturing and business, with profound consequences for workers and managers alike. By the 1960s, practices originally developed to improve industrial efficiency were being used by Wall Street, influencing how markets worked and even how traders thought. Digital technology became central to finance, tying together far-flung trading floors and automating decision making—with alarming consequences, including the 1987 Black Monday crash.

In Coding Capitalism: Computers and the Remaking of the Postwar US Economy (Columbia University Press, 2026), Dr. Devin Kennedy offers a new history of the digital economy, showing how the computer emerged from—and transformed—capitalism in the United States. He traces how computer science and technology were made by industry, which molded computation to manage factories, financial markets, and entire firms. Drawing on the archives of businesses, computer researchers, regulators, and financial institutions, Coding Capitalism retells the story of the postwar economy and the computer, revealing how mid-century business laid the foundations of the digital world. Bridging business and economic history with the history of science and technology, this book uncovers the prehistory of big tech and demonstrates how capitalism has shaped computing since its invention.

This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda’s interviews on New Books with Miranda Melcher, wherever you get your podcasts. 

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In this episode of International Horizons, RBI Acting Director Eli Karetny sits down with Alexis Cruz, founder of Enough Consulting and former strategic advisor for governance at Meta. Cruz explores how the proliferation of AI and digital platforms has shifted global politics into an "anocracy"—a precarious gray zone situated between traditional democracy and authoritarianism.

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Since the 1990s, technologists have promoted a vision of the “cloud” as a shapeless and intangible entity. Grounding the Cloud: Urbanism in the Shadow of Data (University of Minnesota Press, 2026) by Dr. Ali Fard peers through this hazy façade to reveal the earthly material foundations of global computing and data extraction. Tracing the historical and technological development of the cloud computing paradigm, Dr. Fard exposes an ever-evolving project in which ideologies, economic models, and marketing images collude to shape our shared urban environments.

Demonstrating how technology’s spatial footprint now stretches to nearly every corner of the globe, Grounding the Cloud analyzes the often-hidden infrastructures that facilitate platform capitalism—from the mines extracting rare earth minerals in remote regions to the vast global network of fiber-optic cables at the bottom of the oceans to the nondescript data centers that sit on the peripheries of major urban areas. Meanwhile, with compelling examples of smart-city initiatives and corporate campuses, Dr. Fard shows how the future of urbanism is deeply intertwined with the growing economies of data extraction.

Breaking down the myth of a clean and efficient tech urbanism, this book makes visible the complex material geographies and geopolitics that undergird today’s most powerful and omnipresent corporations. A timely critique of the growing agency of tech platforms in determining the future of urban space, Grounding the Cloud offers an essential framework for understanding the shifting relationship between technology and urbanization.

This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda’s interviews on New Books with Miranda Melcher, wherever you get your podcasts. 

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A respected voice on technology shows how seemingly simple ads help dismantle democracy and public discourse.

Whether you’re intentionally shopping or casually browsing social media, something is following you: ads. Their creators seem to know your income bracket, politics, age, location, medical conditions, and tastes in clothing, food, and romantic partners. As advertising firms use predictive AI to discover your hot buttons and generative AI to push them, your online world becomes an increasingly bespoke—and isolated—place. The fervid competition around personalization in digital marketing has given rise to an ecosystem of advertisers, media outlets, tech companies, and retailers who monetize your data while threatening the health of our media, discourse, and sense of community. In this urgent book, award-winning author Joseph Turow shows how we got here, and how to change direction.The Problem with Personalization: How Advertisers Learned to Make and Break Us from Ancient Times to the AI Age (University of Chicago Press, 2026) shatters common beliefs about advertising history by showing that individualized ads are not new. Today’s AI-enabled advertisers draw on past aspirations and assumptions about personalization while weaponizing data in unprecedented ways that drive social fragmentation and the disappearance of shared social reality. Informed by interviews with marketing insiders and covering the latest technology advances, Turow accessibly explains how artificial intelligence sifts through our data to tag and target us wherever we go with personalized videos, pictorial billboards, audio messages, and more. A logical next step for advertiser support is tailored entertainment and news, a shift that further destroys the common ground necessary for a functioning democracy.

A must-read for all who care about the future of public discourse, The Problem with Personalization reveals how targeted advertising has altered how we’re seen and what we see in return.

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Research shows that honesty is the single most important characteristic a person can possess when it comes to liking them, respecting them, and understanding them. But honesty is eroding in many areas of society today, as we are confronted with honesty crises in politics, education, relationships, religion, celebrity culture, and technology.

Over the past 50 years, no single philosopher has offered a comprehensive exploration of honesty—how we define it, how it diverges in private and public spaces, and how it depends on shared perceptions of reality. Dr. Christian Miller addresses this gap, while showing how modern life increasingly rewards dishonesty, with profound consequences for our relationships, institutions and culture—a phenomenon he names The Honesty Crisis (Oxford UP, 2026).

From cases such as sermon plagiarism to AI-assisted cheating to the rise of fake news, Dr. Miller explores how dishonesty has become easier, more pervasive and even normalized in our society. Yet The Honesty Crisis does more than diagnose the problem: it proposes concrete, practical steps to preserve honesty where it matters most.

Guest: Dr. Christian B. Miller is the A. C. Reid Professor of Philosophy at Wake Forest University. The author of numerous articles and books, he also directed The Honesty Project, one of the largest research initiatives ever undertaken on honesty.

Host: Dr. Christina Gessler is an academic writing coach and editor. She holds a Ph.D. in history which she uses to explore which stories we tell and what happens to those we never tell. She is the creator, producer and show host of the Academic Life podcast.

Playlist for listeners:

• Understanding Disinformation
• When Your Professor Asks You To Cheat
• The Last Human Job
• Who Gets Believed
• The AI Mirror: How to Reclaim Our Humanity in an Age of Machine Thinking
• What Do You Want Out of Life
• The Museum of Failure
• The Well-Gardened Mind
• A Meaningful Life
• The Good- Enough Life
• Tell Me What You Want

Welcome to Academic Life, the podcast for your academic journey—and beyond! You help support the show by downloading and sharing episodes. Join us again to learn from more experts inside and outside the academy, and around the world. Missed any of the 300+ Academic Life episodes? Find them here. And thank you for listening!

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Caroline Stokes is a strategist who works with C-Suites and Boards to lead their organizations through AI disruption, climate risk, and geopolitical instability. Her new book Aftershock to 2030: A CEO's Guide to Reinvention in the Age of AI, Climate, and Societal Collapse is published by Broad Book Press and serves as a roadmap for leaders navigating the tidal wave of change going on today. The founder of Workplace EQ, Caroline Stokes is previously the author of the business book Elephants Before Unicorns, about which she was interviewed by Dan Hill for his previous NBN podcast, “Dan Hill’s EQ Spotlight” in 2020.

Empathy, mental sovereignty, super hero: those three aspirations define this conversation well. Let’s unpack each term, in turn, to provide a sense of Caroline Stokes’ perspective on the world of work nowadays. One of Stokes’ points here is that emotional labor is of real value but the burden of getting it done rarely falls equally on people’s shoulders in business, with women often taking the greater load. Who should be stepping up more? CEOs, for whom empathy is rarely a Top 10 or even Top 30 strength of theirs. Sometimes hyper-masculinity gets in the way; other times, it might be that they feel blocked by the misperception that empathy entails just “dumping” one’s feelings on others at work, when in reality admitting vulnerability in relation to specific, mission-critical aspects of one’s job should really be the primary focus. In turn, what is “mental sovereignty” in Stokes’ work view? The term is meant to denote showing respect to everyone, regardless of rank, as part of creating a culture that highly values psychological safety. Finally, “super hero” enters the picture because, as a long-time executive coach, Stokes knows that within most if not all leaders lies a desire to be a difference-maker in ways that go beyond hitting the quarterly numbers alone. Within every leader, she believes, lurks a seven-year-old child eager to be a force for moral good as well as financial success for the enterprise overall.

Real Transformations: Business Change That Works from the Inside Out is co-hosted by Julie Anixter and Dan Hill, PhD, entrepreneurs with deep experience as corporate change agents, devoted to helping companies make continuous change work for everyone through clarity and connection. To learn about their keynote talks, workshops and labs, check out Real-Transformation.com.

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One of the things that stood out in my conversation with John Longhurst about his book Can Robots Love God and Be Saved? A Journalist Reports on Faith (CMU Press, 2024) was his seriousness about journalism itself. Longhurst understands the journalist's vocation not as providing definitive answers but as asking good questions, paying close attention, and engaging thoughtfully with the people and events that shape our world.

Our discussion focused on a theme that runs throughout the book: if religion's enduring strength lies not in providing final answers but in sustaining meaningful questions, then what sustains belief amid suffering, doubt, and uncertainty? Longhurst's work suggests that faith often emerges not from certainty but from ongoing engagement with life's deepest mysteries.

Rather than offering simple conclusions, Can Robots Love God and Be Saved? invites readers into conversations about faith, technology, culture, politics, and everyday life. It reminds us that religious questions remain central to how many people understand themselves and the world around them. In an age increasingly shaped by AI and our histories, these questions may become even more important, not less so.

My thanks to John Longhurst for joining me on the New Books Network and for sharing insights drawn from a lifetime of careful observation, thoughtful reporting, and persistent questioning.

Amisah Bakuri (PhD) is an Assistant Professor in the Faculty of Social Sciences and Humanities at Vrije Universiteit Amsterdam. Her research examines the intersections of religion, sexuality, gender, and migration, particularly within African diasporic communities in the Netherlands.

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Like many people, I've been following the developments of AI, testing out new models and following the deluge of news stories about the fight for supremacy. Much has been written about the existential and economic risks posed by AI, but the political implications of superintelligent systems have often been sidelined. In the United States and elsewhere, AI companies steam ahead with little regulation or oversight. Meanwhile, politicians appear flatfooted and unsure about the best way to integrate AI into the government to make democracies stronger and more responsive to the needs and will of the people. AI will undeniably change how governments work, but how can we ensure that democracy and individual rights are safeguarded amidst the most transformative technological revolution in more than a century? Today I'm speaking with Andrew Sorota, Head of Research for the Office of Eric Schmidt. Andrew has written extensively about the relationship between democracy and artificial intelligence. His writing has appeared in outlets like the New York Times and Noema magazine. Andrew will dispel many myths about AI, where he looks to call bullshit on the idea that democracy is a system heading fast into the dustbin of history.

Follow Andrew Sorota on LinkedIn

"This Is No Way to Rule a Country" in the New York Times

"Rescuing Democracy From The Quiet Rule Of AI" in Noema

Andrew Sorota is currently Head of Research for the Office of Eric Schmidt.

Caleb Zakarin is CEO and Publisher of the New Books Network.

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More than 40 years after her death, the legend of Maria Callas, "La Divina Assoluta," remains unsurpassed. Much has been written about her sensational opera career and fraught private life, from her definitive mastery of iconic opera roles to her love affairs and tantrums. The prototype for the 20th century celebrity diva, Callas emblematizes the cliche of tormented talent - genius in the ring with catastrophe.

Her extraordinary voice, in particular, has become an object of cult-like adoration and cultural significance almost with a life of its own: as fetish object, as sophisticated sonic signifier, and most recently, as the lifeblood for a Callas hologram. Such adoration is not without consequences. When Callas is transformed into a vessel for such transcendent magic, it overshadows what is perhaps her most superhuman ability - the masterful technique she deployed to shape and craft her astounding instrument. Singing bodies are working bodies, enacting an intimate and complex form of artistic labor and cultural signification.

Using one of Callas's first recital recordings from 1954, Maria Callas's Lyric and Coloratura Arias (Bloomsbury, 2021) envisions each aria as a lens to examine various aspects of vocalization and cultural reception of the feminized voice in both classical and pop culture, from Homer's Sirens to Star Trek. With references to works by Marina Abramovic, Charles Baudelaire, Michel Chion, Wayne Koestenbaum, Greil Marcus, and Farah Jasmine Griffin, as well as films by Pier Paolo Pasolini, Jonathan Demme, and Rainer Werner Fassbinder, each chapter explores phenomena unique to the singing voice, including the operatic screaming point, the politics of listening, and the singing simulacrum.

Ginger Dellenbaugh is a musician and historian who has written and lectured on music and politics, vernacular notation systems, and the cultural history of the voice. A trained opera singer, she performed for over a decade in Europe and the United States. Ginger is currently a lecturer at The New School in New York, USA and completing a PhD in musicology at Yale University, USA. She lives in New York City and Vienna, Austria.

Ginger Dellenbaugh’s website.

Bradley Morgan is a media arts professional in Chicago and author of U2's The Joshua Tree: Planting Roots in Mythic America (Backbeat Books, 2021), Frank Zappa's America (LSU Press, 2025), and U2: Until the End of the World (Gemini Books, 2025). He manages partnerships on behalf of CHIRP Radio 107.1 FM and is the director of its music film festival.

Bradley on Facebook and Bluesky.

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Craig Hatkoff has spent four decades at the intersection of innovation, culture-building, and institutional transformation. He pioneered commercial mortgage securitization at Chemical Bank, co-founded the Tribeca Film Festival alongside Robert De Niro and Jane Rosenthal after 9/11, and .in 2010 co-founded the Disruptor Awards with Harvard Professor Clayton Christensen and Irwin Kula. His latest initiative is Dragon Camp, which provides a methodology for using CGI (Collaborative General Intelligence) as a practice framework for creating a viable human-AI partnership.

In this episode focused on unlocking the potential of AI in a humanist manner, the first order of business is to secure trustworthy information from AI. To that end, Craig discusses a four-stage model for verifying AI’s output. The first element is to leverage output from multiple AI sources, rather than just one, in order to guard against what have been called “AI hallucinations” or “fabrications.” To do so, moves organizations beyond stage 1: single-source vulnerability. Stages 2 through 4 then ramp up from cross-checking via multiple AI models (stage 2), to human intervention to verify (stage 3), culminating in stage 4: where a panel of experts serves as a de facto jury. There is far more than just that 4-stage model, however, in this intriguing episode, as Craig traverses from a love of exploring the power of anomalies as a way to explore insights—to using AI as his “lawyer” in tackling Open AI in court. Building a truth economy that simultaneously allays people’s fears about AI is the ultimate goal here.

Real Transformations: Business Change That Works from the Inside Out is co-hosted by Julie Anixter and Dan Hill, PhD, entrepreneurs with deep experience as corporate change agents, devoted to helping companies make continuous change work for everyone through clarity and connection. To learn about their keynote talks, workshops and labs, check out Real-Transformation.com.

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In the world's top research labs and universities, the race is on to
invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Basic Books, 2018), Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

Pedro Domingos is a professor emeritus of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle.

Gregory McNiff is a Managing Director in the New York office of the Blueshirt Group, an IR firm focused on technology; he has a strong interest in literature, culture, religion, science and philosophy (translation: he's an eclectic reader who is constantly missing deadlines for book review).

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How is the tool of Artificial Intelligence shaping the writing of fiction? Is AI emerging as more than just a potentially handy aid to an author—and, ominously, more like an actual author? I discuss these ripe questions and others with the literary critic Mark McGurl, professor of English at Stanford. He is the author of The Program Era: Postwar Fiction and the Rise of Creative Writing (Harvard University Press, 2009) and Everything and Less: The Novel in the Age of Amazon (Verso, 2021). As our conversation shows, McGurl is a nuanced, reasoned voice on an emotive subject that all too readily lends itself to apocalyptic or pollyannaish pronouncements.

Mark McGurl is a Professor of English at Stanford University.

Veteran journalist Paul Starobin is a former Moscow bureau chief for Business Week and a former contributing editor of The Atlantic. His companion Substack newsletter, America and Beyond,” offers commentary and insights on the podcast. He has written for The New York Times, The Washington Post, The Wall Street Journal and many other publications. His most recent book is Putin’s Exiles: Their Fight for a Better Russia (Columbia Global Reports, 2024).

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How Deeply Human Is Language? Chomsky, the Brain, and the AI Fantasy (MIT Press, 2026) is Yosef Grodzinsky’s exploration of the criticality of the linguistic theories to the design of LLMs. The book dwells on the significance of the marriage between computational and theoretical fields, specifically “engineering and science” on the development of unique Language Learning Models. Yosef maintains that leveraging linguistic theories for the development of Gen AI chatbots and training of Language Learning Models will help the growing Gen-AI revolution. In the book, LLMs are evaluated from the neurolinguistic perspective, comparing how the human brain works with different LLMs’ reactions to prompts, highlighting how a collaboration between the core linguists and the experts in the technology-related fields could make a change.

Yosef Grodzinzky’s positions in the book is grounded in contemporary linguistics, founded and inspired by Noam Chomsky, the father of the “mentalist” linguistic perspective to language acquisition. In the book, the author employs the historical approach to tell different significant stories to communicate multiple messages of success of interdisciplinary practices. While the main idea is to explore the centrality of linguistic science to other fields with specific emphasis on Engineering and sister’s technological fields, the book dwelled on specific pitfalls of the linguistics and way forward to promote novel interdisciplinary productions.

Mariam Olugbodi is a university teacher and a writer, she is the author of the monograph titled: “Stylistic Features in the 2011 and 2012 Final Matches Commentaries in the UEFA Champions League”, published by Grin Verlag. Mariam’s greatest dream is seeing a world where knowledge is accessible to all. She does this through her volunteering roles on open knowledge platforms as a host and an editor. As part of her effort to maintain inclusion and diversity in knowledge transmission, she volunteers as a teacher in crises contexts. Learn more and connect with Mariam through her social links here. | LinkedIn| here. |ORCID| and here. |Meta|

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Powered by Smart traces the techno-cultural evolutions that made artificial intelligence feel more familiar than futuristic. From wearables and streaming platforms to home voice assistants and AI toasters, smart is an inescapable feature of postdigital life. Today, thousands of products and platforms define smart as routine automation and friendly digital kinship. Yet smartness was not always so digital. Sarah Murray uncovers the century-long process through which smart became synonymous with seamless interaction between bodies and machines, showing how this intimate interfacing helped to normalize today’s algorithmic world.
Offering a critical, feminist prehistory of everyday AI, Powered by Smart reveals how the pursuit of convenience, comfort, and efficiency has long been a gendered campaign. Smartness has often been associated with women — from early switchboard operators and industrial designer Lillian Gilbreth’s test kitchens to Jane Fonda’s Jazzercise empire and Disney’s computer-housewife PAT in Smart House. These moments illuminate how machine intelligence has already been made ordinary, and how the smart ideal was built over time through domesticity, discipline, and desirability.
Moving across factory floors, suburban kitchens, exercise trends, and digital homes, Murray shows how twentieth-century innovations in wearability, solutionism, and recognition laid the groundwork for our contemporary tolerance of — and attachment to — AI. Far from a sudden technological revolution, everyday AI emerged through decades of cultural conditioning of smart life as a caring, attentive endeavor that cast human–machine harmony as both natural and necessary. Powered by Smart reframes artificial intelligence not as the next frontier of progress, but as the logical extension of a much older dream of efficiency made ordinary and personal.

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Imagine a future where we grow houses rather than build them. Where smartphones are alive, clothing has opinions and all human knowledge fits into a speck of DNA. A world where disease is a thing of the past and the human lifespan is dramatically extended.
To achieve this, says Adrian Woolfson, founder of the genome writing company Genyro, we must transform biology into a predictive, programmable engineering material. That means decoding the generative grammar of DNA: the language of life itself. We will then be able to author genomes—and, if we choose, even rewrite our own.
In On the Future of Species: Authoring Life by Means of Artificial Biological Intelligence (MIT Press, 2026), Woolfson describes how we are at the cusp of a technological revolution, driven by the convergence of artificial intelligence and synthetic biology. Currently at the scribbling phase—writing the genomes of viruses, bacteria and yeast—we will eventually author the genomes of extinct and never-before-realized species. Life will become computable, detached from its past and no longer bound by Darwinian evolution.
While offering extraordinary opportunities, this power also carries great risk, and it is vital for everyone to understand what the future might hold. In this groundbreaking work, Woolfson provides a guide to this bold new world, offering a moral compass to help us do so safely, wisely and ethically.

Adrian Woolfson is the cofounder of Genyro, a California-based biotechnology company specializing in synthetic genome design and construction. He studied medicine at Balliol College, Oxford, and was formerly the Charles and Katherine Darwin Research Fellow at Darwin College, Cambridge, working at the MRC Laboratory of Molecular Biology.

Greg is the Executive Director and Founder of the World War II Discussion Forum (wwiidf.org). He also has a strong interest in literature, culture, religion, science and philosophy (translation: he's an eclectic reader who is constantly missing deadlines for book reviews).

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GenAI in Higher Education: Redefining Teaching and Learning (Bloomsbury, 2026) provides practical guidance for higher education professionals looking to use Generative Artificial Intelligence (GenAI) technologies. Blending theoretical grounding with real-world examples and case studies, it gives step-by-step guidance on how to evaluate, select, and implement GenAI technologies in teaching, learning, assessment, and student support. It covers topics including automating administrative processes, adapting learning resources, and critiquing outputs. Each chapter includes reflective exercises and further reading lists and shows how AI can enhance accessibility, efficiency, and creativity in higher education. Alongside this, the many challenges and ethical considerations of using AI are introduced, including issues around plagiarism, quality control, and the need to establish governance protocols.

Dr. Tiatemsu Longkumer, Senior Lecturer in Anthropology at Royal Thimphu College, Bhutan, researches indigenous religion and Christianity among the Nagas, Buddhism in Bhutan, and Generative AI in education.

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When we are trying to solve a problem, what happens? We find ourselves weighing arguments, or relying on intuition, then reaching a conscious decision about what to do. What is going on behind the scenes?

In The Emergent Mind: How Intelligence Arises in People and Machines (Basic Books, 2025), Gaurav Suri and Jay McClelland show that our experience is the tip of an iceberg of brain activity that can be captured in an artificial neural network. Such networks--initially developed as models of ourselves--have become the engines of artificial neural intelligence. Suri and McClelland aren't reducing mankind to mere machines. Rather, they are showing how a data-driven neural network can create thoughts, emotions, and ideas--a mind--whether in humans or computers.

The Emergent Mind provides a fascinating account of how we reach decisions, why we change our minds, and how we are affected by context and experience. Ultimately, the book gives a new answer to one of our oldest questions: Not just how do minds work, but what does it mean to be a mind at all?

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The story of AI isn't finished yet. The question is: how will you be part of it?

With the unprecedented adoption of artificial intelligence and its far-reaching implications, people everywhere are witnessing the world change around them. Artificially Intelligent: The Very Human Story of AI (Aevo UTP, 2025) answers today's most pressing questions about AI - from the fundamental to the futuristic - offering readers a new, informed worldview.

In an age of unparalleled innovation and change, artificial intelligence has become the heart of our fears, discussions, and debates. Thus, AI researcher and award-winner David Eliot takes readers on a journey through the key moments and decisions that have shaped its creation and our world. A socially driven history, the book explores its technical breakthroughs and the social forces that made them possible.
But this book isn't just about the past - it's about you. Artificially Intelligent invites readers to find their place in the story of AI, to understand its impact on their lives, and to decide what kind of future they want to help create.
Artificially Intelligent tells the story of the technology the way it was meant to be told: not as an exhaustive retelling of history, nor as a prophecy of doom and gloom, but as a human story that is not yet complete.

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