國立高雄大學圖資館 |

Language: English

Back

Artificial intelligence and machine learning powered public service delivery in Estoniaopportunities and legal challenges /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence and machine learning powered public service delivery in Estoniaby Martin Ebers, Paloma Krõõt Tupay.
Reminder of title:	opportunities and legal challenges /
Author:	Ebers, Martin.
other author:	Tupay, Paloma Krõõt.
Published:	Cham :Springer International Publishing :2023.
Description:	xxi, 237 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Public administrationTechnological innovationsEstonia.
Subject:	EstoniaPeriodicals.Economic conditions
Online resource:	https://doi.org/10.1007/978-3-031-19667-6
ISBN:	9783031196676$q(electronic bk.)

Artificial intelligence and machine learning powered public service delivery in Estoniaopportunities and legal challenges /
Ebers, Martin.

Artificial intelligence and machine learning powered public service delivery in Estoniaopportunities and legal challenges /[electronic resource] :by Martin Ebers, Paloma Krõõt Tupay. - Cham :Springer International Publishing :2023. - xxi, 237 p. :ill., digital ;24 cm. - Data science, machine intelligence, and law,v. 22730-5902 ;. - Data science, machine intelligence, and law ;v.1..

1. Introduction -- 2. The Promise and Perils of AI and ML in Public Administration -- 3.The Regulatory Framework in Overview -- 4. Privacy Issues: Processing Personal Data, Monitoring, and Profiling Citizens -- 5. Delegation of Administrative Powers to AI Systems -- 6. Due Process, Fair Trial, Transparency, and Explainability -- 7. Fairness and Equal Treatment -- 8. Safety and Security -- 9. Accountability and Liability -- 10. Intellectual Property Rights and Data Ownership -- 11. Final Conclusions and Recommendations.

This book gives a comprehensive overview of the state of Artificial Intelligence (AI), especially machine learning (ML) applications in public service delivery in Estonia, discussing the manifold ethical and legal issues that arise under both European and Estonian law. Final conclusions and recommendations set out and analyze various policy options for the public sector, taking into account recent developments at the European level - such as the AIA proposal - as well as the experience of countries that have issued principles and guidelines or even laws for the use of ML in the public sector. "For two reasons, this study is relevant not only for an audience which is interested in Estonian administrative law. First, the authors base their legal analysis primarily on EU law and provide a state of the art-analysis of the relevant secondary legislation. This makes the book a reference text for the European debate on public sector AI governance. Second, this study is part of a larger research project in which four specific use cases of public sector AI have been developed and tested. The practical insights gained in these projects have provided the authors with an excellent understanding of the opportunities and risks of the technology, which distinguishes this legal analysis from similar enterprises." Excerpt from the foreword by Professor Thomas Wischmeyer (University of Bielefeld)

ISBN: 9783031196676$q(electronic bk.)

Standard No.: 10.1007/978-3-031-19667-6doiSubjects--Topical Terms:

946878
Public administration
--Technological innovations--Estonia.Subjects--Geographical Terms:

438380
Estonia
--Economic conditions--Periodicals.

LC Class. No.: JF1525.A8

Dewey Class. No.: 352.3802854678

Artificial intelligence and machine learning powered public service delivery in Estoniaopportunities and legal challenges /
LDR:03073nmm a2200337 a 4500 001 640304
003 DE-He213
005 20230114033120.0
006 m d
007 cr nn 008maaau
008 231025s2023 sz s 0 eng d
020 $a 9783031196676$q(electronic bk.)
020 $a 9783031196669$q(paper)
024 7 $a 10.1007/978-3-031-19667-6 $2 doi
035 $a 978-3-031-19667-6
040 $a GP $c GP
041 0 $a eng
050 4 $a JF1525.A8
072 7 $a LNJ $2 bicssc
072 7 $a LAW000000 $2 bisacsh
072 7 $a LNJ $2 thema
082 0 4 $a 352.3802854678 $2 23
090 $a JF1525.A8 $b E16 2023
100 1 $a Ebers, Martin. $3 887768
245 1 0 $a Artificial intelligence and machine learning powered public service delivery in Estonia $h [electronic resource] : $b opportunities and legal challenges / $c by Martin Ebers, Paloma Krõõt Tupay.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xxi, 237 p. : $b ill., digital ; $c 24 cm.
490 1 $a Data science, machine intelligence, and law, $x 2730-5902 ; $v v. 2
505 0 $a 1. Introduction -- 2. The Promise and Perils of AI and ML in Public Administration -- 3.The Regulatory Framework in Overview -- 4. Privacy Issues: Processing Personal Data, Monitoring, and Profiling Citizens -- 5. Delegation of Administrative Powers to AI Systems -- 6. Due Process, Fair Trial, Transparency, and Explainability -- 7. Fairness and Equal Treatment -- 8. Safety and Security -- 9. Accountability and Liability -- 10. Intellectual Property Rights and Data Ownership -- 11. Final Conclusions and Recommendations.
520 $a This book gives a comprehensive overview of the state of Artificial Intelligence (AI), especially machine learning (ML) applications in public service delivery in Estonia, discussing the manifold ethical and legal issues that arise under both European and Estonian law. Final conclusions and recommendations set out and analyze various policy options for the public sector, taking into account recent developments at the European level - such as the AIA proposal - as well as the experience of countries that have issued principles and guidelines or even laws for the use of ML in the public sector. "For two reasons, this study is relevant not only for an audience which is interested in Estonian administrative law. First, the authors base their legal analysis primarily on EU law and provide a state of the art-analysis of the relevant secondary legislation. This makes the book a reference text for the European debate on public sector AI governance. Second, this study is part of a larger research project in which four specific use cases of public sector AI have been developed and tested. The practical insights gained in these projects have provided the authors with an excellent understanding of the opportunities and risks of the technology, which distinguishes this legal analysis from similar enterprises." Excerpt from the foreword by Professor Thomas Wischmeyer (University of Bielefeld)
650 0 $a Public administration $x Technological innovations $z Estonia. $3 946878
650 0 $a Artificial intelligence. $3 194058
650 1 4 $a IT Law, Media Law, Intellectual Property. $3 823867
650 2 4 $a Private International Law, International and Foreign Law, Comparative Law. $3 913280
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Administrative Law. $3 277086
651 0 $a Estonia $x Economic conditions $v Periodicals. $3 438380
700 1 $a Tupay, Paloma Krõõt. $3 946877
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Data science, machine intelligence, and law ; $v v.1. $3 887770
856 4 0 $u https://doi.org/10.1007/978-3-031-19667-6
950 $a Law and Criminology (SpringerNature-41177)