LEADER 04636nam 22007695 450 001 9910644267403321 005 20251008153701.0 010 $a9783031196676 010 $a3031196678 024 7 $a10.1007/978-3-031-19667-6 035 $a(MiAaPQ)EBC7176845 035 $a(Au-PeEL)EBL7176845 035 $a(CKB)26015348500041 035 $a(DE-He213)978-3-031-19667-6 035 $a(PPN)267810105 035 $a(EXLCZ)9926015348500041 100 $a20230114d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Machine Learning Powered Public Service Delivery in Estonia $eOpportunities and Legal Challenges /$fedited by Martin Ebers, Paloma Krõõt Tupay 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (253 pages) 225 1 $aData Science, Machine Intelligence, and Law,$x2730-5902 ;$v2 311 08$a9783031196669 311 08$a303119666X 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThis book gives a comprehensive overview of the state of Artificial Intelligence (AI), especially machine learning (ML) applications in public service delivery in Estonia, discussing the manifold ethical and legal issues that arise under both European and Estonian law. Final conclusions and recommendations set out and analyze various policy options for the public sector, taking into account recent developments at the European level ? such as the AIA proposal ? as well as the experience of countries that have issued principles and guidelines or even laws for the use of ML in the public sector. ?For two reasons, this study is relevant not only for an audience which is interested in Estonian administrative law. First, the authors base their legal analysis primarily on EU law and provide a state of the art-analysis of the relevant secondary legislation. This makes the book a reference text for the European debate on public sector AI governance. Second, this study is part of a larger research project in which four specific use cases of public sector AI have been developed and tested. The practical insights gained in these projects have provided the authors with an excellent understanding of the opportunities and risks of the technology, which distinguishes this legal analysis from similar enterprises.? Excerpt from the foreword by Professor Thomas Wischmeyer (University of Bielefeld) . 410 0$aData Science, Machine Intelligence, and Law,$x2730-5902 ;$v2 606 $aInformation technology$xLaw and legislation 606 $aMass media$xLaw and legislation 606 $aConflict of laws 606 $aConflict of laws 606 $aInternational law 606 $aComparative law 606 $aArtificial intelligence 606 $aAdministrative law 606 $aIT Law, Media Law, Intellectual Property 606 $aPrivate International Law, International and Foreign Law, Comparative Law 606 $aArtificial Intelligence 606 $aAdministrative Law 615 0$aInformation technology$xLaw and legislation. 615 0$aMass media$xLaw and legislation. 615 0$aConflict of laws. 615 0$aConflict of laws. 615 0$aInternational law. 615 0$aComparative law. 615 0$aArtificial intelligence. 615 0$aAdministrative law. 615 14$aIT Law, Media Law, Intellectual Property. 615 24$aPrivate International Law, International and Foreign Law, Comparative Law. 615 24$aArtificial Intelligence. 615 24$aAdministrative Law. 676 $a060 700 $aEbers$b Martin$01354447 702 $aTupay$b Paloma Kro?o?t 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910644267403321 996 $aArtificial Intelligence and Machine Learning Powered Public Service Delivery in Estonia$93329673 997 $aUNINA