Rob Reich

Jeremy M. Weinstein

Mehran Sahami

A forward-thinking manifesto from three Stanford professors--experts who have worked at ground zero of the tech revolution for decades--which reveals how big tech's obsession with optimization and efficiency has sacrificed fundamental human values and outlines steps we can take to change course, renew our democracy, and save ourselves. In no more than the blink of an eye, a naïve optimism about technology's liberating potential has given way to a dystopian obsession with biased algorithms, surveillance capitalism, and job-displacing robots. Yet too few of us see any alternative to accepting the onward march of technology. We have simply accepted a technological future designed for us by technologists, the venture capitalists who fund them, and the politicians who give them free rein. It doesn't need to be this way. System Error exposes the root of our current predicament: how big tech's relentless focus on optimization is driving a future that reinforces discrimination, erodes privacy, displaces workers, and pollutes the information we get. This optimization mindset substitutes what companies care about for the values that we as a democratic society might choose to prioritize. Well-intentioned optimizers fail to measure all that is meaningful and, when their creative disruptions achieve great scale, they impose their values upon the rest of us. Armed with an understanding of how technologists think and exercise their power, three Stanford professors--a philosopher working at the intersection of tech and ethics, a political scientist who served under Obama, and the director of the undergraduate Computer Science program at Stanford (also an early Google engineer)--reveal how we can hold that power to account. Troubled by the values that permeate the university's student body and its culture, they worked together to chart a new path forward, creating a popular course to transform how tomorrow's technologists approach their profession. Now, as the dominance of big tech becomes an explosive societal conundrum, they share their provocative insights and concrete solutions to help everyone understand what is happening, what is at stake, and what we can do to control technology instead of letting it control us.

Where Big Tech Went Wrong and How We Can Reboot

System Error

Some rebel groups abuse noncombatant populations, while others exhibit restraint. Insurgent leaders in some countries transform local structures of government, while others simply extract resources for their own benefit. In some contexts, groups kill their victims selectively, while in other environments violence appears indiscriminate, even random. This book presents a theory that accounts for the different strategies pursued by rebel groups in civil war, explaining why patterns of insurgent violence vary so much across conflicts. It does so by examining the membership, structure, and behavior of four insurgent movements in Uganda, Mozambique, and Peru. Drawing on interviews with nearly two hundred combatants and civilians who experienced violence firsthand, it shows that rebels' strategies depend in important ways on how difficult it is to launch a rebellion. The book thus demonstrates how characteristics of the environment in which rebellions emerge constrain rebel organization and shape the patterns of violence that civilians experience.

The Politics of Insurgent Violence

Inside Rebellion

"System Error is a triumph: an analysis of the critical challenges facing our digital society that is as accessible as it is sophisticated." -- Anne-Marie Slaughter, CEO of New America A forward-thinking manifesto from three Stanford professors--experts who have worked at ground zero of the tech revolution for decades--which reveals how big tech's obsession with optimization and efficiency has sacrificed fundamental human values and outlines steps we can take to change course, renew our democracy, and save ourselves. In no more than the blink of an eye, a naïve optimism about technology's liberating potential has given way to a dystopian obsession with biased algorithms, surveillance capitalism, and job-displacing robots. Yet too few of us see any alternative to accepting the onward march of technology. We have simply accepted a technological future designed for us by technologists, the venture capitalists who fund them, and the politicians who give them free rein. It doesn't need to be this way. System Error exposes the root of our current predicament: how big tech's relentless focus on optimization is driving a future that reinforces discrimination, erodes privacy, displaces workers, and pollutes the information we get. This optimization mindset substitutes what companies care about for the values that we as a democratic society might choose to prioritize. Well-intentioned optimizers fail to measure all that is meaningful and, when their creative disruptions achieve great scale, they impose their values upon the rest of us. Armed with an understanding of how technologists think and exercise their power, three Stanford professors--a philosopher working at the intersection of tech and ethics, a political scientist who served under Obama, and the director of the undergraduate Computer Science program at Stanford (also an early Google engineer)--reveal how we can hold that power to account. Troubled by the values that permeate the university's student body and its culture, they worked together to chart a new path forward, creating a popular course to transform how tomorrow's technologists approach their profession. Now, as the dominance of big tech becomes an explosive societal conundrum, they share their provocative insights and concrete solutions to help everyone understand what is happening, what is at stake, and what we can do to control technology instead of letting it control us.

James Habyarimana

Macartan Humphreys

Daniel N. Posner

Ethnically homogenous communities often do a better job than diverse communities of producing public goods such as satisfactory schools and health care, adequate sanitation, and low levels of crime. Coethnicity reports the results of a landmark study that aimed to find out why diversity has this cooperation-undermining effect. The study, conducted in a neighborhood of Kampala, Uganda, notable for both its high levels of diversity and low levels of public goods provision, hones in on the mechanisms that might account for the difficulties diverse societies often face in trying to act collectively. The Mulago-Kyebando Community Study uses behavioral games to explore how the ethnicity of the person with whom one is interacting shapes social behavior. Hundreds of local participants interacted with various partners in laboratory games simulating real-life decisions involving the allocation of money and the completion of joint tasks. Many of the subsequent findings debunk long-standing explanations for diversity’s adverse effects. Contrary to the prevalent notion that shared preferences facilitate ethnic collective action, differences in goals and priorities among participants were not found to be structured along ethnic lines. Nor was there evidence that subjects favored the welfare of their coethnics over that of non-coethnics. When given the opportunity to act altruistically, individuals did not choose to benefit coethnics disproportionately when their actions were anonymous. Yet when anonymity was removed, subjects behaved very differently. With their actions publicly observed, subjects gave significantly more to coethnics, expected their partners to reciprocate, and expected that they would be sanctioned for a failure to cooperate. This effect was most pronounced among individuals who were otherwise least likely to cooperate. These results suggest that what may look like ethnic favoritism is, in fact, a set of reciprocity norms—stronger among coethnics than among non-coethnics—that make it possible for members of more homogeneous communities to take risks, invest, and cooperate without the fear of getting cheated. Such norms may be more subject to change than deeply held ethnic antipathies—a powerful finding for policymakers seeking to design social institutions in diverse societies. Research on ethnic diversity typically draws on either experimental research or field work. Coethnicity does both. By taking the crucial step from observation to experimentation, this study marks a major breakthrough in the study of ethnic diversity. A Volume in the Russell Sage Foundation Series on Trust

Jeremy M. Weinstein

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