TY - GEN
T1 - How to Streamline AI Application in Government? A Case Study on Citizen Participation in Germany
AU - Balta, Dian
AU - Kuhn, Peter
AU - Sellami, Mahdi
AU - Kulus, Daniel
AU - Lieven, Claudius
AU - Krcmar, Helmut
N1 - Publisher Copyright:
© 2019, IFIP International Federation for Information Processing.
PY - 2019
Y1 - 2019
N2 - Artificial intelligence (AI) technologies are on the rise in almost every aspect of society, business and government. Especially in government, it is of interest how the application of AI can be streamlined: at least, in a controlled environment, in order to be able to evaluate potential (positive and negative) impact. Unfortunately, reuse in development of AI applications and their evaluation results lack interoperability and transferability. One potential remedy to this challenge would be to apply standardized artefacts: not only on a technical level, but also on an organization or semantic level. This paper presents findings from a qualitative explorative case study on online citizen participation in Germany that reveal insights on the current standardization level of AI applications. In order to provide an in-depth analysis, the research involves evaluation of two particular AI approaches to natural language processing. Our findings suggest that standardization artefacts for streamlining AI application exist predominantly on a technical level and are still limited.
AB - Artificial intelligence (AI) technologies are on the rise in almost every aspect of society, business and government. Especially in government, it is of interest how the application of AI can be streamlined: at least, in a controlled environment, in order to be able to evaluate potential (positive and negative) impact. Unfortunately, reuse in development of AI applications and their evaluation results lack interoperability and transferability. One potential remedy to this challenge would be to apply standardized artefacts: not only on a technical level, but also on an organization or semantic level. This paper presents findings from a qualitative explorative case study on online citizen participation in Germany that reveal insights on the current standardization level of AI applications. In order to provide an in-depth analysis, the research involves evaluation of two particular AI approaches to natural language processing. Our findings suggest that standardization artefacts for streamlining AI application exist predominantly on a technical level and are still limited.
KW - Government
KW - Natural language processing
KW - Standardization
UR - http://www.scopus.com/inward/record.url?scp=85077118590&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-27325-5_18
DO - 10.1007/978-3-030-27325-5_18
M3 - Conference contribution
AN - SCOPUS:85077118590
SN - 9783030273248
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 233
EP - 247
BT - Electronic Government - 18th IFIP WG 8.5 International Conference, EGOV 2019, Proceedings
A2 - Lindgren, Ida
A2 - Janssen, Marijn
A2 - Lee, Habin
A2 - Polini, Andrea
A2 - Rodríguez Bolívar, Manuel Pedro
A2 - Scholl, Hans Jochen
A2 - Tambouris, Efthimios
PB - Springer
T2 - 18th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2019
Y2 - 2 September 2019 through 4 September 2019
ER -