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001454180 001__ 1454180
001454180 003__ OCoLC
001454180 005__ 20230314003505.0
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001454180 008__ 230125s2023\\\\sz\\\\\\ob\\\\001\0\eng\d
001454180 019__ $$a1360515604$$a1366111866
001454180 020__ $$a9783031196676$$q(electronic bk.)
001454180 020__ $$a3031196678$$q(electronic bk.)
001454180 020__ $$z9783031196669
001454180 020__ $$z303119666X
001454180 0247_ $$a10.1007/978-3-031-19667-6$$2doi
001454180 035__ $$aSP(OCoLC)1365379702
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001454180 08204 $$a352.3/802854678$$223/eng/20230125
001454180 1001_ $$aEbers, Martin,$$d1970-$$eauthor.
001454180 24510 $$aArtificial intelligence and machine learning powered public service delivery in Estonia :$$bopportunities and legal challenges /$$cMartin Ebers, Paloma Krõõt Tupay.
001454180 264_1 $$aCham :$$bSpringer,$$c[2023]
001454180 264_4 $$c©2023
001454180 300__ $$a1 online resource (xxi, 237 pages).
001454180 336__ $$atext$$btxt$$2rdacontent
001454180 337__ $$acomputer$$bc$$2rdamedia
001454180 338__ $$aonline resource$$bcr$$2rdacarrier
001454180 4901_ $$aData science, machine intelligence, and law,$$x2730-5902 ;$$vvolume 2
001454180 504__ $$aIncludes bibliographical references and index.
001454180 5050_ $$a1. 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.
001454180 506__ $$aAccess limited to authorized users.
001454180 520__ $$aThis 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) .
001454180 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 25, 2023).
001454180 650_0 $$aPublic administration$$xTechnological innovations$$zEstonia.
001454180 650_0 $$aArtificial intelligence.
001454180 651_0 $$aEstonia$$xPolitics and government.
001454180 655_0 $$aElectronic books.
001454180 7001_ $$aTupay, Paloma Krõõt,$$eauthor.
001454180 77608 $$iPrint version: $$z303119666X$$z9783031196669$$w(OCoLC)1346154094
001454180 830_0 $$aData science, machine intelligence, and law ;$$vvolume 2.$$x2730-5902
001454180 852__ $$bebk
001454180 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-19667-6$$zOnline Access$$91397441.1
001454180 909CO $$ooai:library.usi.edu:1454180$$pGLOBAL_SET
001454180 980__ $$aBIB
001454180 980__ $$aEBOOK
001454180 982__ $$aEbook
001454180 983__ $$aOnline
001454180 994__ $$a92$$bISE