TY - GEN
T1 - Generating Value from Government Data Using AI
T2 - 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
AU - Gao, Yingying
AU - Janssen, Marijn
N1 - 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.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Artificial Intelligence
KW - Internet of Things
KW - Open data
KW - Open government
KW - Smart cities
KW - Value creation
UR - http://www.scopus.com/inward/record.url?scp=85096473864&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-57599-1_24
DO - 10.1007/978-3-030-57599-1_24
M3 - Conference contribution
AN - SCOPUS:85096473864
SN - 9783030575984
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 319
EP - 331
BT - Electronic Government - 19th IFIP WG 8.5 International Conference, EGOV 2020, Proceedings
A2 - Viale Pereira, Gabriela
A2 - Janssen, Marijn
A2 - Lee, Habin
A2 - Lindgren, Ida
A2 - Rodríguez Bolívar, Manuel Pedro
A2 - Scholl, Hans Jochen
A2 - Zuiderwijk, Anneke
PB - Springer
Y2 - 31 August 2020 through 2 September 2020
ER -
