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Titlebook: Artificial Intelligence and Machine Learning Powered Public Service Delivery in Estonia; Opportunities and Le Martin Ebers,Paloma Kr??t Tup

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發(fā)表于 2025-3-21 16:59:04 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence and Machine Learning Powered Public Service Delivery in Estonia
期刊簡稱Opportunities and Le
影響因子2023Martin Ebers,Paloma Kr??t Tupay
視頻videohttp://file.papertrans.cn/163/162236/162236.mp4
發(fā)行地址Presents the first comprehensive legal analysis of AI systems under Estonian law.Contributes to the European and International discussion on how to regulate AI systems in the future.Provides the first
學(xué)科分類Data Science, Machine Intelligence, and Law
圖書封面Titlebook: Artificial Intelligence and Machine Learning Powered Public Service Delivery in Estonia; Opportunities and Le Martin Ebers,Paloma Kr??t Tup
影響因子.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 ofa 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 understandi
Pindex Book 2023
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Book 2023 for the European debate on public sector AI governance. Second, this study is part ofa 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 understandi
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Artificial Intelligence and Machine Learning Powered Public Service Delivery in EstoniaOpportunities and Le
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2730-5899 rger 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 understandi978-3-031-19669-0978-3-031-19667-6Series ISSN 2730-5899 Series E-ISSN 2730-5902
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Introduction,. in 2021. This holds especially true in the area of public administration: 99% of the country’s public services are available online 24/7, with the Internet replacing the need to visit the relevant authorities. Changing your place of residence, buying a car, or setting up a company takes just some
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發(fā)表于 2025-3-22 23:14:35 | 只看該作者
The Promise and Perils of AI and ML in Public Administration,on of the various definitions carved out for AI technologies, along with the ML paradigm and its application especially in the domain of public administration. It then highlights the technology’s worldwide application and varied novel use cases, putting special emphasis on the Estonian public sector
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發(fā)表于 2025-3-23 02:44:40 | 只看該作者
The Regulatory Framework in Overview,tonian legislation corresponding to it. This chapter concludes with analysis of the importance of standardizing AI systems so as to reduce or offset the dangers posed by various AI technologies. To this end, the chapter describes and characterizes the activities of international standardization orga
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