front cover of The Means of Prediction
The Means of Prediction
How AI Really Works (and Who Benefits)
Maximilian Kasy
University of Chicago Press, 2025
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.
 
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Serving Country and Community
Who Benefits from National Service?
Peter Frumkin and JoAnn Jastrzab
Harvard University Press, 2010

The United States has a long history of citizens rendering service to their communities. Examples of government-sponsored voluntary service organizations include the Civilian Conservation Corps, the Peace Corps, and Volunteers in Service to America (VISTA). During the Clinton administration, the national service movement was advanced by the establishment of AmeriCorps, a large-scale national service program designed to place young people in community service positions across the country. More recently, the Obama administration has set in motion a major program expansion of AmeriCorps over the coming decade.

Many decades, billions of dollars, and hundreds of thousands of volunteers after the creation of the first national service programs, it remains unclear who benefits from service, under what conditions these programs work best, and how exactly these service efforts contribute to the strengthening of communities. Serving Country and Community answers each of these questions through an in-depth study of how service shapes the lives of young people and a careful analysis of the strengths and weaknesses of these programs. Based on years of field work and data collection, Serving Country and Community provides an in-depth examination of the aims and effects of national service and, in the process, opens up a conversation about what works and what needs reform in national service today.

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Who Benefits from the Nonprofit Sector?
Edited by Charles T. Clotfelter
University of Chicago Press, 1992
This accessible study examines all the major elements of the nonprofit sector of the economy of the United States —health services, educational and research institutions, religious organizations, social services, arts and cultural organizations, and foundations—describing the institutions and their functions, and then exploring how their benefits are distributed across various economic classes. The book's findings indicate that while few institutions serve primarily the poor, there is no evidence of a gross distribution of benefits upward toward the more affluent. The analysis of this data makes for a book with profound implications for future social and tax policy.
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