%0 Conference Proceedings
%T Artificial Intelligence in Public Administration
%+ Zeppelin University
%A Etscheid, Jan
%Z Part 4: AI, Data Analytics and Automated Decision Making
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 18th International Conference on Electronic Government (EGOV)
%C San Benedetto del Tronto, Italy
%Y Ida Lindgren
%Y Marijn Janssen
%Y Habin Lee
%Y Andrea Polini
%Y Manuel Pedro Rodríguez Bolívar
%Y Hans Jochen Scholl
%Y Efthimios Tambouris
%I Springer International Publishing
%3 Electronic Government
%V LNCS-11685
%P 248-261
%8 2019-09-02
%D 2019
%R 10.1007/978-3-030-27325-5_19
%K Artificial intelligence
%K Process automation
%K Smart government
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X The constant increase of technical possibilities makes the automation of processes more and more attractive for the public administration. Due to the advances in Artificial intelligence, processes can be automated today which only a few years ago had to be carried out by humans. But not all administrative processes can be automated from a technical point of view. From the multitude of several thousand administrative procedures, decision-makers must select those processes which are deemed appropriate for partial or full automation. This paper seeks to present a possible framework to evaluate opportunities for automation through the decomposition of administrative procedures.
%G English
%Z TC 8
%Z WG 8.5
%2 https://inria.hal.science/hal-02445801/document
%2 https://inria.hal.science/hal-02445801/file/485030_1_En_19_Chapter.pdf
%L hal-02445801
%U https://inria.hal.science/hal-02445801
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-EGOV
%~ IFIP-WG8-5
%~ IFIP-LNCS-11685