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).

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|

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).

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.

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?

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.

Natural intelligence is a marvel, but human beings blunder because we are biased. We are biased in the sense that our judgments tend to go systematically wrong in predictable ways, like a scale that always shows people as heavier than they are, or like an archer who always misses the target to the right. Biases can lead us to buy products that do us no good or to make foolish investments. They can lead us to run unreasonable risks, and to refuse to run reasonable risks. They can shorten our lives. They can make us miserable.

Biases present one kind of problem; noise is another. People are noisy not in the sense that we are loud, though we might be, but in the sense that our judgments show unwanted variability. On Monday, we might make a very different judgment from the judgment we make on Friday. When we are sad, we might make a different judgment from the one we would make when we are happy. Bias and noise can produce exceedingly serious mistakes.

AI promises to avoid both bias and noise. For institutions that want to avoid mistakes it is now a great boon. AI will also help investors who want to make money and consumers who don't want to buy products that they will end up hating. Still, the world is full of surprises, and AI cannot spoil those surprises because some of the most important forms of knowledge involve an appreciation of what we cannot know and why we cannot know it. Written in clear, jargon-free English and grounded in deep understanding, Imperfect Oracle provides a distinctly useful perspective on this complex debate.

Artificial Intelligence has been “just around the corner” for decades, continually disappointing those who long believed in its potential. But now, with the emergence and growing use of ChatGPT, Gemini, and a rapidly multiplying number of other AI tools, many are wondering: Has AI’s moment finally arrived?

In AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence (Harper Collins, 2025), Pulitzer Prize-winning journalist Gary Rivlin brings us deep into the world of AI development in Silicon Valley. Over the course of more than a year, Rivlin closely follows founders and venture capitalists trying to capitalize on this AI moment. That includes LinkedIn founder Reid Hoffman, the legendary investor whom the Wall Street Journal once called, “the most connected person in Silicon Valley.”

Through Hoffman, Rivlin is granted access to a number of companies on the cutting-edge of AI research, such as Inflection AI, the company Hoffman cofounded in 2022, and OpenAI, the San Francisco-based startup that sparked it all with its release at the end of that year of ChatGPT. In addition to Hoffman, Rivlin introduces us to other AI experts, including OpenAI cofounder Sam Altman and Mustafa Suleyman, the co-founder of DeepMind, an early AI startup that Google bought for $650 million in 2014. Rivlin also brings readers inside Microsoft, Meta, Google and other tech giants scrambling to keep pace.

On this vast frontier, no one knows which of these companies will hit it big–or which will flame out spectacularly. In this riveting narrative marbled with familiar names such as Musk, Zuckerberg, and Gates, Rivlin chronicles breakthroughs as they happen, giving us a deep understanding of what’s around the corner in AI development. An adventure story full of drama and unforgettable personalities, AI Valley promises to be the definitive story for anyone seeking to understand the latest phase of world-changing discoveries and the minds behind them.

Bareis and his contributors trace fascinating connections between fictional representations and military doctrine—how Terminator narratives influence Pentagon planning while actual weapons development feeds back into artistic imagination. The book wrestles with maintaining "meaningful human control" over systems designed to operate faster than human thought, a challenge that grows more urgent as militaries worldwide race toward greater autonomy. Each chapter reveals how thoroughly we need to rethink human-machine relationships in warfare, from the gendered coding of robot soldiers in film to the way AI imaginaries differ between Silicon Valley and New Delhi. Autonomous weapons force us to confront uncomfortable realities about agency, violence, and the increasingly blurred line between human judgment and algorithmic certainty.

Links:

A Clean Kill? the role of Patriot in the Gulf War

Statement delivered by Germany on Working Definition of LAWS / “Definition of Systems under Consideration”

The Silicon Valley venture capitalists who want to ‘move fast and break things’ in the defence industry

Hype Studies

'The Gatekeepers' documentary

Linguist Emily M. Bender and sociologist Alex Hanna make clear that kind of thinking is a symptom of a phenomenon known as “AI hype.” Hype twists words and helps the rich get richer by justifying data theft, motivating surveillance capitalism, and devaluing human creativity in order to replace meaningful work with jobs that treat people like machines. In The AI Con: How to Fight Big Tech's Hype and Create the Future We Want (Harper, 2025), Bender and Hanna offer a, and wide-ranging take-down of AI hype across its many forms. They show you how to spot AI hype, how to deconstruct it, and how to expose the power grabs it aims to hide. Bender and Hanna expose AI hype for what it is: a mask for Big Tech’s drive for profit, with little concern for who it affects.

Alfred Marcus is Edson Spencer Professor at the Carlson School.

Oberhaus became interested in the subject of mental health after tragically losing his sister to suicide. In The Silicon Shrink, he argues that these new, ostensibly therapeutic technologies already pose significant risks to vulnerable people, and they won't stop there. These new breeds of AI systems are creating a psychiatric surveillance economy in which the emotions, behavior, and cognition of everyday people are subtly manipulated by psychologically savvy algorithms that have escaped the clinic. Oberhaus also introduces readers to the concept of “swipe psychology,” which is quickly establishing itself as the dominant mode of diagnosing and treating mental disorders.

It is not too late to change course, but to do so means we must reckon with the nature of mental illness, the limits of technology, and what it means to be human.

This interview was conducted by Dr. Miranda Melcher whose new 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.

Beane outlines the fascinating forms of research he did - both his own ethnographic work and reanalyzing the data of other ethnographers - to better understand how automating technologies are being adopted in organizational settings and how such adoption may threaten traditional mentor-mentee relationships through which junior workers learn crucial skills. Beane also discusses ways in which the worst negative skill-learning outcomes may be avoided and his own work trying to create new training systems to improve our current situation.

In The AI Mirror: How to Reclaim our Humanity in an Age of Machine Thinking (Oxford UP), Shannon Vallor argues that the actual, and very alarming, existential risk of AI that we face right now is quite different. Because some AI technologies, such as ChatGPT or other large language models, can closely mimic the outputs of an understanding mind without having actual understanding, the technology can encourage us to surrender the activities of thinking and reasoning. This poses the risk of diminishing our ability to respond to challenges and to imagine and bring about different futures. In her compelling book, Vallor, who holds the Baillie Gifford Chair in the Ethics and Artificial Intelligence at the University of Edinburgh's Edinburgh Futures Institute, critically examines AI Doomers and Long-termism, the nature of AI in relation to human intelligence, and the technology industry's hand in diverting our attention from the serious risks we face.

In From Deep Learning to Rational Machines (Oxford UP, 2024), Cameron Buckner lays out a program for future AI development based on discussions of the human mind by such figures as David Hume, Ibn Sina (Avicenna), and Sophie de Grouchy, among others. Buckner, who is an associate professor of philosophy at the University of Houston, offers a conceptual framework that occupies a middle ground between the extremes of 'blank slate' empiricism and innate domain specific faculty psychology, and defends the claim that neural network modelers have found, at least in some cases, a sweet spot of abstraction from the messy details of biological cognition so as to capture the relevant similarities in their artificial networks.