자료유형  

 학위논문

Control Number  

0017162030

International Standard Book Number  

9798383164570

Dewey Decimal Classification Number  

320

Main Entry-Personal Name  

Lucky, Matthew C.

Publication, Distribution, etc. (Imprint  

[S.l.] : Indiana University., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

268 p.

General Note  

Source: Dissertations Abstracts International, Volume: 85-12, Section: A.

General Note  

Advisor: Scheuerman, William E.

Dissertation Note  

Thesis (Ph.D.)--Indiana University, 2024.

Summary, Etc.  

요약Contemporary democracies are undergoing a period of crisis as sustained challenges from antisystem populist movements threaten to bring an end to popular rule. Simultaneously, the cultural authority of scientific and technological expertise has been severely eroded in the public mind, as viscerally illustrated by the partisan skepticism of life-saving vaccinations against COVID-19. This dissertation addresses the intersection of those twin crises of democracy and expertise by adopting an interdisciplinary approach that combines insights from democratic theory, science and technology studies, and critical algorithmic studies. This approach challenges the default position in political theory that holds a taken-for-granted assumption that scientific research and technological design exist beyond the boundaries of politics and can thus be safely ignored. I demonstrate, in contrast, that scientific and technological expertise are interwoven with the Political and that exploring the intersection of politics and expertise provides a new perspective for addressing the twin crises. A key insight from this research is the demonstration that approaches to solving social problems that sacrifice democracy to prioritize empowering experts are counterproductive. For instance, I show that democracies hold an advantage over regimes governed by experts because democracies generate a beneficial alignment between the interests of politicians, experts, and citizens that directs expert research toward addressing social problems. Likewise, I demonstrate that the use of artificial intelligence (AI) systems in the public sector has largely squandered their potential by focusing narrowly on fulfilling state imperatives while neglecting emancipatory applications. To wit, without democratic guidance from the public, the use of AI systems in the state tends to simply provide new technological means for doing the same old things. Finally, this dissertation ultimately contends that the best pathway toward simultaneously reinvigorating democracy and rebuilding trust in expertise requires us to systemically invite participatory engagement from the public into the processes of scientific research and technological design. Hence, cooperative engagement between democracy and expertise affords the best opportunity to address the twin crises afflicting both.

Subject Added Entry-Topical Term  

Political science.

Subject Added Entry-Topical Term  

Public administration.

Subject Added Entry-Topical Term  

Public policy.

Index Term-Uncontrolled  

Artificial intelligence

Index Term-Uncontrolled  

Democracy

Index Term-Uncontrolled  

Epistocracy

Index Term-Uncontrolled  

Expertise

Index Term-Uncontrolled  

Science and technology studies

Added Entry-Corporate Name  

Indiana University Political Science

Host Item Entry  

Dissertations Abstracts International. 85-12A.

Electronic Location and Access  

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Control Number  

joongbu:656796