Title
Generating Value from Government Data Using AI: An Exploratory Study
Author
Gao, Y. (Huazhong University of Science and Technology)
Janssen, M.F.W.H.A. (TU Delft Information and Communication Technology) 
Contributor
Viale Pereira, Gabriela (editor)
Janssen, Marijn (editor)
Lee, Habin (editor)
Lindgren, Ida (editor)
Rodríguez Bolívar, Manuel Pedro (editor)
Scholl, Hans Jochen (editor)
Zuiderwijk, Anneke (editor)
Date
2020
Abstract
Open government data initiatives have gained popularity around the world. Artificial Intelligence (AI) has the potential to make better use of data. Combining the OGD and AI is crucial to generate more value from data. In this paper we investigate what kind of value was generated through AI and how. A context-input-process-output/outcome (CIPO) framework is developed to describe and compare three cases. The overview of cases shows the huge potential of AI, but it also suggests that AI is hardly used by the public to create value from open data. The objectives of the three cases are efficiency, innovation and crime prevention, whereas common open government objectives like transparency, accountability and participation are given less attention. By using AI, the risks of data privacy and arriving at biased or wrong conclusions become more prominent. With the rise of data collection from Internet of Things, complying with the 5-stars of Berners-Lee becomes more important. We recommend policy makers to stimulate AI projects contributing to the open government goals and ensure that open data meets the 5-star requirements.
Subject
Artificial Intelligence
Internet of Things
Open data
Open government
Smart cities
Value creation
To reference this document use:
http://resolver.tudelft.nl/uuid:26f7027d-b021-4906-a18a-c48a0878a493
DOI
https://doi.org/10.1007/978-3-030-57599-1_24
Publisher
Springer
Embargo date
2021-03-24
ISBN
9783030575984
Source
Electronic Government - 19th IFIP WG 8.5 International Conference, EGOV 2020, Proceedings
Event
19th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2020, held in conjunction with the IFIP WG 8.5 International Conference on Electronic Participation, ePart 2020, and the International Conference for E-Democracy and Open Government Conference, CeDEM 2020, 2020-08-31 → 2020-09-02, Linkoping, Sweden
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 12219 LNCS
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2020 Y. Gao, M.F.W.H.A. Janssen