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The History of AI and Power in Government

Authors: Kempeneer, Shirley;

The History of AI and Power in Government

Abstract

This book chapter begins by examining the simultaneous development of statistics and the state. Drawing on the works of notable scholars like Alain Desrosières, Theodore Porter, James Scott, and Michel Foucault, the chapter explores measurement as a product of modernity. It discusses the politics and power of (large) numbers, through their ability to make societies legible and controllable, also in the context of colonialism. The chapter then discusses the shift from data to big data and how AI and the state, just like statistics and the state, are mutually constitutive. It zooms in on shifting power relations, discussing the militarization of society, the outsourcing of the state to tech contractors, the exploitation of human bodies under the guise of 'automation', and the oppression of vulnerable citizens. Where news media often focus on the power of AI, that is supposedly escaping our control, this chapter relocates power in AI-systems, building on the work of Kate Crawford, Bruno Latour, and Emily Bender.

Country
Netherlands
Related Organizations
Keywords

Big Data, big tech, Public Sector, digital government, AI, Power, Government, NWO VENI, Stress Testing Agile Digital Transformation, e-government

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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