Social, Legal, and Technical Considerations for Machine Learning and Artificial Intelligence Systems in Government

Richard Dreyling, Eric Jackson, Tanel Tammet, Alena Labanava, Ingrid Pappel

Abstract

Expansion of technology has led to governments increasingly reconciling with advanced technologies like machine learning and artificial intelligence. Research has covered the ethical considerations of AI as well as legal and technical aspects of the operation of these systems within the framework of government. This research is an introduction to the topic in the Estonian context which uses a multidisciplinary inquiry based in the theoretical framework of technology adoption and getting citizens to use these services for their benefit. (Suggest that there are first results as well).

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Paper Citation


in Harvard Style

Dreyling R., Jackson E., Tammet T., Labanava A. and Pappel I. (2021). Social, Legal, and Technical Considerations for Machine Learning and Artificial Intelligence Systems in Government. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-509-8, pages 701-708. DOI: 10.5220/0010452907010708


in Bibtex Style

@conference{iceis21,
author={Richard Dreyling and Eric Jackson and Tanel Tammet and Alena Labanava and Ingrid Pappel},
title={Social, Legal, and Technical Considerations for Machine Learning and Artificial Intelligence Systems in Government},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2021},
pages={701-708},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010452907010708},
isbn={978-989-758-509-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Social, Legal, and Technical Considerations for Machine Learning and Artificial Intelligence Systems in Government
SN - 978-989-758-509-8
AU - Dreyling R.
AU - Jackson E.
AU - Tammet T.
AU - Labanava A.
AU - Pappel I.
PY - 2021
SP - 701
EP - 708
DO - 10.5220/0010452907010708