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Will the Government Machine Turn into a Monster?

Author:

Ralf KlischewskiAuthors Info & Claims

dg.o '19: Proceedings of the 20th Annual International Conference on Digital Government Research

Pages 306 - 313

https://doi.org/10.1145/3325112.3325221

Published: 18 June 2019 Publication History

Abstract

IT artifacts and systems increasingly act autonomously and interact non-deterministically, and we have not yet learned how to deal with this empowerment of machine agency in digital government. Following the sociomateriality discourse, this research unfolds a perspective from which digital government research can understand the intertwinement of human action and technology performance while designing and shaping the upcoming digitalization of government operations. This perspective assumes an intended primacy of the people in the citizen−government relationship and perceives the marginalization of humans as a significant threat to applying social values in governance, especially when situated action is required. Using Mintzberg's models of managing government, we identify a variety of ‘monster’ challenges, point to opportunities for decomposition of human and machine agency and advocate the alignment and composition of both agencies as a long-term learning process that involves both citizens and technology and requires safeguarding by multiple stakeholders.

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Cited By

Scott ANeumann DNiess JWoźniak P(2023)Do You Mind? User Perceptions of Machine ConsciousnessProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581296(1-19)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581296
Vogl T(2020)Theoretical Foundations for the Study of Social Innovation in the Public SectorElectronic Participation10.1007/978-3-030-58141-1_5(54-65)Online publication date: 26-Aug-2020
https://doi.org/10.1007/978-3-030-58141-1_5

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cover image ACM Other conferences

dg.o '19: Proceedings of the 20th Annual International Conference on Digital Government Research

June 2019

533 pages

ISBN:9781450372046

DOI:10.1145/3325112

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 June 2019

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dg.o 2019

dg.o 2019: 20th Annual International Conference on Digital Government Research

June 18 - 20, 2019

Dubai, United Arab Emirates

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Cited By

Scott ANeumann DNiess JWoźniak P(2023)Do You Mind? User Perceptions of Machine ConsciousnessProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581296(1-19)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581296
Vogl T(2020)Theoretical Foundations for the Study of Social Innovation in the Public SectorElectronic Participation10.1007/978-3-030-58141-1_5(54-65)Online publication date: 26-Aug-2020
https://doi.org/10.1007/978-3-030-58141-1_5

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