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A short, thought-provoking book about what happens to our online identities after we die.

These days, so much of our lives takes place online—but what about our afterlives? Thanks to the digital trails that we leave behind, our identities can now be reconstructed after our death. In fact, AI technology is already enabling us to “interact” with the departed. Sooner than we think, the dead will outnumber the living on Facebook. In this thought-provoking book, Carl Öhman explores the increasingly urgent question of what we should do with all this data and whether our digital afterlives are really our own—and if not, who should have the right to decide what happens to our data.

The stakes could hardly be higher. In the next thirty years alone, about two billion people will die. Those of us who remain will inherit the digital remains of an entire generation of humanity—the first digital citizens. Whoever ends up controlling these archives will also effectively control future access to our collective digital past, and this power will have vast political consequences. The fate of our digital remains should be of concern to everyone—past, present, and future. Rising to these challenges, Öhman explains, will require a collective reshaping of our economic and technical systems to reflect more than just the monetary value of digital remains.

As we stand before a period of deep civilizational change, The Afterlife of Data will be an essential guide to understanding why and how we as a human race must gain control of our collective digital past—before it is too late.

An engrossing origin story for the personal computer—showing how the Apple II’s software helped a machine transcend from hobbyists’ plaything to essential home appliance.
 
Skip the iPhone, the iPod, and the Macintosh. If you want to understand how Apple Inc. became an industry behemoth, look no further than the 1977 Apple II. Designed by the brilliant engineer Steve Wozniak and hustled into the marketplace by his Apple cofounder Steve Jobs, the Apple II became one of the most prominent personal computers of this dawning industry.
 
The Apple II was a versatile piece of hardware, but its most compelling story isn’t found in the feat of its engineering, the personalities of Apple’s founders, or the way it set the stage for the company’s multibillion-dollar future. Instead, historian Laine Nooney shows, what made the Apple II iconic was its software. In software, we discover the material reasons people bought computers. Not to hack, but to play. Not to code, but to calculate. Not to program, but to print. The story of personal computing in the United States is not about the evolution of hackers—it’s about the rise of everyday users.
 
Recounting a constellation of software creation stories, Nooney offers a new understanding of how the hobbyists’ microcomputers of the 1970s became the personal computer we know today. From iconic software products like VisiCalc and The Print Shop to historic games like Mystery House and Snooper Troops to long-forgotten disk-cracking utilities, The Apple II Age offers an unprecedented look at the people, the industry, and the money that built the microcomputing milieu—and why so much of it converged around the pioneering Apple II.
 

A revealing genealogy of image-recognition techniques and technologies
 

Today’s most advanced neural networks and sophisticated image-analysis methods come from 1950s and ’60s Cold War culture—and many biases and ways of understanding the world from that era persist along with them. Aerial surveillance and reconnaissance shaped all of the technologies that we now refer to as computer vision, including facial recognition. The Birth of Computer Vision uncovers these histories and finds connections between the algorithms, people, and politics at the core of automating perception today.

James E. Dobson reveals how new forms of computerized surveillance systems, high-tech policing, and automated decision-making systems have become entangled, functioning together as a new technological apparatus of social control. Tracing the development of a series of important computer-vision algorithms, he uncovers the ideas, worrisome military origins, and lingering goals reproduced within the code and the products based on it, examining how they became linked to one another and repurposed for domestic and commercial uses. Dobson includes analysis of the Shakey Project, which produced the first semi-autonomous robot, and the impact of student protest in the early 1970s at Stanford University, as well as recovering the computer vision–related aspects of Frank Rosenblatt’s Perceptron as the crucial link between machine learning and computer vision.

Motivated by the ongoing use of these major algorithms and methods, The Birth of Computer Vision chronicles the foundations of computer vision and artificial intelligence, its major transformations, and the questionable legacy of its origins.


Cover alt text: Two overlapping circles in cream and violet, with black background. Top is a printed circuit with camera eye; below a person at a 1977 computer.

A deconstruction of gender through the voices of Siri, HAL 9000, and other computers that talk

Although computer-based personal assistants like Siri are increasingly ubiquitous, few users stop to ask what it means that some assistants are gendered female, others male. Why is Star Trek’s computer coded as female, while HAL 9000 in 2001: A Space Odyssey is heard as male? By examining how gender is built into these devices, author Liz W. Faber explores contentious questions around gender: its fundamental constructedness, the rigidity of the gender binary, and culturally situated attitudes on male and female embodiment.

Faber begins by considering talking spaceships like those in Star Trek, the film Dark Star, and the TV series Quark, revealing the ideologies that underlie space-age progress. She then moves on to an intrepid decade-by-decade investigation of computer voices, tracing the evolution from the masculine voices of the ’70s and ’80s to the feminine ones of the ’90s and ’00s. Faber ends her account in the present, with incisive looks at the film Her and Siri herself.

Going beyond current scholarship on robots and AI to focus on voice-interactive computers, The Computer’s Voice breaks new ground in questions surrounding media, technology, and gender. It makes important contributions to conversations around the gender gap and the increasing acceptance of transgender people. 

How popular debates about the so-called digital generation mediate anxieties about labor and life in twenty-first-century America
 

“The children are our future” goes the adage, a proclamation that simultaneously declares both anxiety as well as hope about youth as the next generation. In The Digital Is Kid Stuff, Josef Nguyen interrogates this ambivalence within discussions about today’s “digital generation” and the future of creativity, an ambivalence that toggles between the techno-pessimism that warns against the harm to children of too much screen time  and a techno-utopianism that foresees these “digital natives” leading the way to innovation, economic growth, increased democratization, and national prosperity.  

Nguyen engages cultural histories of childhood, youth, and creativity through chapters that are each anchored to a particular digital media object or practice. Nguyen narrates the developmental arc of a future creative laborer: from a young kid playing the island fictions of Minecraft, to an older child learning do-it-yourself skills while reading Make magazine, to a teenager posting selfies on Instagram, to a young adult creative laborer imagining technological innovations using design fiction. 

Focusing on the constructions and valorizations of creativity, entrepreneurialism, and technological savvy, Nguyen argues that contemporary culture operates to assuage profound anxieties about—and to defuse valid critiques of—both emerging digital technologies and the precarity of employment for “creative laborers” in twenty-first-century neoliberal America. 

Locates the deep history of digitality in the development of racial capitalism

Seb Franklin sets out a media theory of racial capitalism to examine digitality’s racial-capitalist foundations. The Digitally Disposed shows how the promises of boundless connection, flexibility, and prosperity that are often associated with digital technologies are grounded in racialized histories of dispossession and exploitation. Reading archival and published material from the cybernetic sciences alongside nineteenth-century accounts of intellectual labor, twentieth-century sociometric experiments, and a range of literary and visual works, The Digitally Disposed locates the deep history of digitality in the development of racial capitalism.

Franklin makes the groundbreaking argument that capital’s apparently spontaneous synthesis of so-called free individuals into productive circuits represents an “informatics of value.” On the one hand, understanding value as an informatic relation helps to explain why capital was able to graft so seamlessly with digitality at a moment in which it required more granular and distributed control over labor—the moment that is often glossed as the age of logistics. On the other hand, because the informatics of value sort populations into positions of higher and lower capacity, value, and status, understanding their relationship to digitality requires that we see the digital as racialized and gendered in pervasive ways.

Ultimately, The Digitally Disposed questions the universalizing assumptions that are maintained, remade, and intensified by today’s dominant digital technologies. Vital and far-reaching, The Digitally Disposed reshapes such fundamental concepts as cybernetics, informatics, and digitality.

A foundational new collection examining the mechanics of privacy in the digital age.

The falling costs of collecting, storing, and processing data have allowed firms and governments to improve their products and services, but have also created databases with detailed individual-level data that raise privacy concerns. This volume summarizes the research on the economics of privacy and identifies open questions on the value of privacy, the roles of property rights and markets for privacy and data, the relationship between privacy and inequality, and the political economy of privacy regulation.

Several themes emerge across the chapters. One is that it may not be possible to solve privacy concerns by creating a market for the right to privacy, even if property rights are well-defined and transaction costs are low. Another is that it is difficult to measure and value the benefits of privacy, particularly when individuals have an intrinsic preference for privacy. Most previous attempts at valuation have focused only on quantifiable economic outcomes, such as innovation. Finally, defining privacy through an economic lens is challenging. The broader academic and legal literature includes many distinct definitions of privacy, and different definitions may be appropriate in different contexts. The chapters explore a variety of frameworks for examining these questions and provide a range of new perspectives on the role of economics research in understanding the benefits and costs of privacy and of data flows. As the digital economy continues to expand the scope of economic theory and research, The Economics of Privacy provides the most comprehensive survey to date of this field and its next steps.

A thought-provoking examination of how AI might either spur or harm human economic progress.

What happens to an economy when machines can think as well as, or even better than, humans? The Economics of Transformative AI tackles this issue, which is one of the most consequential economic questions of our time. This book brings together sixteen research studies from top economists that look closely at how transformative AI reshapes everything from innovation and market structure to employment, inequality, and human purpose. They explore both opportunities, such as personalized algorithmic assistance, accelerated scientific discovery, and new forms of organization, and profound challenges, including potential labor displacement, rising concentration of power, changes in the information ecosystem, and even possible existential risks to humanity.

The studies in this volume develop economic frameworks for understanding the conditions under which AI might enhance or undermine human flourishing. They offer policymakers, researchers, and business leaders the analytical tools needed to prepare for the potential economic transformations ahead.

Tracing the cultural history of play—from Fluxus to SimCity

Games and gamified activities have become ubiquitous in many adults’ lives, and play is widely valued for fostering creativity, community, growth, and empathy. But how did we come to our current understanding of what it means to play? The Impossible Reversal charts the transformation of notions of playfulness beginning in the second half of the twentieth century, when a legion of artists, academics, and engineers developed new ways of theorizing, structuring, and designing ludic activity.

Through examples ranging from experimental Fluxus games to corporate role-playing exercises and from the Easy Bake Oven to Tetris, The Impossible Reversal presents four styles of playfulness characteristic of the “era of designed play”: the impossible reversal, which puts a player in a seemingly hopeless scenario they must upend with a tiny gesture; expending the secret, which involves silly rules that gain an obscure power and require players to embrace failure; simulated freedom, a satiric criticism of the ordinary world; and oblique repetition, a way of playing that stumbles toward unimaginable outcomes through simple, meaningless, and endlessly iterated acts.

A unique genealogical account of play as both concept and practice, The Impossible Reversal illuminates how playfulness became essential for understanding cultural, technical, and economic production in the United States.

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Revealing the unheralded contributions of women of color to the foundation and development of the digital economy

The Inattention Economy challenges the widespread myth that the internet was born from the labor of a handful of white male entrepreneurs, recovering the uncredited and unpaid contributions of women of color. Focusing on three key inflection points in computing—the microchip era of the 1960s and ’70s, the rise of social media in the 2000s, and A.I.-fueled virtual reality in the 2020s—Lisa Nakamura illuminates these women’s instrumental roles in building new technologies and making them coherent to users.

From the Navajo women who manufactured the first semiconductor circuits in New Mexico to Tila Tequila, the queer Vietnamese American refugee who became the first true internet influencer in the MySpace age, to Black virtual reality creators, Nakamura highlights how women’s gendered and racialized identities have uniquely positioned them to mediate the development and proliferation of new technologies. She exposes how these women have been structurally excluded from racial capitalism’s benefits while their labor is considered as exploitable and inexhaustible as that of machines. Confronting this injustice, she focuses our attention on their work, which undergirds and makes possible the platforms ingrained in our daily lives.

Arguing for both recognition and material compensation for these women’s labor, The Inattention Economy is a powerful counterhistory of Silicon Valley and a persuasive call to imagine a different kind of internet.

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A feminist perspective on the early history of personal computing, revealing how computers were integrated into the most intimate aspects of family life

 

The Intimate Life of Computers shows how the widespread introduction of home computers in the 1980s was purposefully geared toward helping sustain heteronormative middle-class families by shaping relationships between users. Moving beyond the story of male-dominated computer culture, this book emphasizes the neglected history of the influence of women’s culture and feminist critique on the development of personal computing despite women’s underrepresentation in the industry.

Proposing the notion of “companionate computing,” Reem Hilu reimagines the spread of computers into American homes as the history of an interpersonal, romantic, and familial medium. She details the integration of computing into family relationships—from helping couples have better sex and offering thoughtful simulations of masculine seduction to animating cute robot companions and giving voice to dolls that could talk to lonely children—underscoring how these computer applications directly responded to the companionate needs of their users as a way to ease growing pressures on home life.

The Intimate Life of Computers is a vital contribution to feminist media history, highlighting how the emergence of personal computing dovetailed with changing gender roles and other social and cultural shifts. Eschewing the emphasis on technologies and institutions typically foregrounded in personal-computer histories, Hilu uncovers the surprising ways that domesticity and family life guided the earlier stages of our all-pervasive digital culture.

An eye-opening examination of how power—not technology—will define life with AI.

AI is inescapable, from its mundane uses online to its increasingly consequential decision-making in courtrooms, job interviews, and wars. The ubiquity of AI is so great that it might produce public resignation—a sense that the technology is our shared fate.
 
As economist Maximilian Kasy shows in The Means of Prediction, artificial intelligence, far from being an unstoppable force, is irrevocably shaped by human decisions—choices made to date by the ownership class that steers its development and deployment. Kasy shows that the technology of AI is ultimately not that complex. It is insidious, however, in its capacity to steer results to its owners’ wants and ends. Kasy clearly and accessibly explains the fundamental principles on which AI works, and, in doing so, reveals that the real conflict isn’t between humans and machines, but between those who control the machines and the rest of us.
 
The Means of Prediction offers a powerful vision of the future of AI: a future not shaped by technology, but by the technology’s owners. Amid a deluge of debates about technical details, new possibilities, and social problems, Kasy cuts to the core issue: Who controls AI’s objectives, and how is this control maintained? The answer lies in what he calls “the means of prediction,” or the essential resources required for building AI systems: data, computing power, expertise, and energy. As Kasy shows, in a world already defined by inequality, one of humanity’s most consequential technologies has been and will be steered by those already in power.
 
Against those stakes, Kasy offers an elegant framework both for understanding AI’s capabilities and for designing its public control. He makes a compelling case for democratic control over AI objectives as the answer to mounting concerns about AI's risks and harms. The Means of Prediction is a revelation, both an expert undressing of a technology that has masqueraded as more complicated and a compelling call for public oversight of this transformative technology.
 

Online advertising will soon form the largest share of global advertisement revenues. Google and Facebook netted profits of US $29 billion in 2016. While these two giants control more than 66% of all online advertising revenues complex legal company structures have minimised their tax liabilities. This extended policy report considers where they should be taxed and where the value of their activities is actually created. It argues that tax paid by those platforms should be levied in the country where platform users are located when they click on or view an advertisement. Furthermore, the report examines the practical steps needed to ensure transparent accounting of taxed transactions in order to avoid long term negative effects for media and democracy.

Considering counter-arguments the author makes the case for an online advertising tax alongside a public service Internet strategy that could support other viable platforms and counter the dangers of duopoly or oligopoly and the high risks of financial bubbles in a world where advertising is the Internet's dominant business model.

An authoritative look at how artificial intelligence both shapes and is shaped by the political and economic forces of the modern world.

As the effects of artificial intelligence are felt across economies and societies, many of its ramifications are still emerging. This volume brings together economists and political scientists to examine how AI intersects with regulation, military power, and political identity—offering analytical frameworks and identifying key open questions for future research.

The contributions address topics such as the allocation of property rights for AI inputs, trade-offs among alternative regulatory regimes, and the role of interest groups in shaping the technology’s trajectory. They explore how AI-related capabilities influence military effectiveness, resource allocation, and bargaining power among nations, and consider AI’s effects on political preferences, from the influence of AI-curated information on polarization to the implications of targeted political advertising and personalized education for national identity formation. The volume highlights key trade-offs that arise in AI’s political economy, and points toward empirical strategies and theoretical models that can advance understanding in this emerging field.

Drawing on diverse disciplinary perspectives, the collection provides a foundation for rigorous inquiry into how AI both shapes and is shaped by political and economic forces.