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""This book examines the legal issues and regulations surrounding digital data and how the law applies to online issues such as defamation, cyberbullying, scams, and data protection and privacy. It also explores the legal implications of technologies such as artificial intelligence and blockchain"--Provided by publisher"--
This book has the merit of being the first book analysing different aspects of data taxation from a wide perspective encompassing not only tax law but also other significant issues related to data, such as data protection and economic inefficiencies. The main aim is to provide data-specific solutions to data-driven problems. In the midst of a number of critical issues and a great deal of uncertainty currently reigning in the field, the authors attempt to put forward easy-to-implement and efficient proposals on the basis of an interdisciplinary analysis. The core idea of this book consists of segregating the utilisation of data into four different yet interdependent steps and constructing the tax law analysis on top of these four corner stones. Step one, occurring in the generation and collection phases of the data’s life cycle, comprises ‘the digital barter’ and other collection of data. Step two, taking place during the processing and analytics phases of the data’s life cycle, consists of microwork. Step three, situated in the storage, processing, analytics and use phases of the data’s life cycle, encompasses aggregation and internal use of data. Step four, materialising during the distribution and use phases of the data’s life cycle, covers sale of data, transfer of data and granting the right to use a database. The main issues occurring in each of the four steps are analysed separately, and yet interdependently, with an emphasis on international tax law. The book also comprises a VAT analysis; suggestion of a new type of tax, namely «data collection tax»; and a brief opinion on a potential future «robo-data tax». The subjects explored in this book are of interest for researchers, lawyers as well as tax administrations. Albeit being an academic publication, the developments made in this contribution are also relevant for the general public. After all, data, the youngest intangible, constitute the raw material of the fourth industrial revolution; and their use and taxation affect each and every citizen!
This report looks at effective e-service provision by tax administrations, summarising eight critical areas, and explores big data management and portals, as well as natural systems. It highlights key opportunities, looking at how these emerging technologies can be best used by tax administrations.
This book constitutes the refereed proceedings of the 8th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2019, held in Linz, Austria, in August 2019. The 17 full papers presented were carefully reviewed and selected from 25 submissions. The papers are organized in the following topical sections: open data and open innovation; data-driven approaches in e-government; e-government cases – data and knowledge management; e-government theoretical background; and digitalization and transparency.
An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations of humans. Today's computers are composing music that sounds “more Bach than Bach,” turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative—or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines. Miller, an authority on creativity, identifies the key factors essential to the creative process, from “the need for introspection” to “the ability to discover the key problem.” He talks to people on the cutting edge of artificial intelligence, encountering computers that mimic the brain and machines that have defeated champions in chess, Jeopardy!, and Go. In the central part of the book, Miller explores the riches of computer-created art, introducing us to artists and computer scientists who have, among much else, unleashed an artificial neural network to create a nightmarish, multi-eyed dog-cat; taught AI to imagine; developed a robot that paints; created algorithms for poetry; and produced the world's first computer-composed musical, Beyond the Fence, staged by Android Lloyd Webber and friends. But, Miller writes, in order to be truly creative, machines will need to step into the world. He probes the nature of consciousness and speaks to researchers trying to develop emotions and consciousness in computers. Miller argues that computers can already be as creative as humans—and someday will surpass us. But this is not a dystopian account; Miller celebrates the creative possibilities of artificial intelligence in art, music, and literature.
This report is the ninth edition of the OECD's Tax Administration Series. It provides internationally comparative data on aspects of tax systems and their administration in 59 advanced and emerging economies.
Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
This book presents the outcomes of the annual “Engineering Economics Week – 2020,” organized by the Russian Union of Industrialists and Entrepreneurs, the Institute of Management and the Institute of Market Problems of the Russian Academy of Sciences (RAS), the South-Russian State Polytechnic University and Samara State University of Economics, and held in online format in May 2020. Focusing on the following topics: - the globalized economy and Russian industrial enterprises: development specifics and international co-operation; - state support for the real sector of the economy; - decisions in production and project management in the context of the digital economy; - big data and big challenges in production networks and systems ; and - economic and social aspects of the innovation management: decision-making and control this book will appeal to scientists, teachers and students (bachelor’s, master’s and postgraduate) at higher education institutions, economists, specialists at research centers, managers of industrial enterprises, business professionals, and those at media centers, and development fund and consulting organizations.
Schwarz on Tax Treaties is the definitive analysis of tax treaties from United Kingdom and Irish perspectives and provides in-depth expert analysis of the interpretation and interaction of those treaty networks with the European Union and international law. The sixth edition significantly develops the earlier work with enhanced commentary and is updated to include the latest UK, Irish domestic and treaty developments, international and EU law, including: Covered Tax Agreements modified by the BEPS Multilateral Instrument; judicial decisions of Ireland, the UK and foreign courts on UK and Irish treaties; Digital Services Tax; treaty binding compulsory arbitration; Brexit and the EU-UK Trade and Cooperation Agreement; taxpayer rights in exchange of information; taxpayer rights in EU cross-border collection of taxes; attribution of profits to permanent establishments; and EU DAC 6 Disclosure of cross-border planning. Case law developments including: UK Supreme Court in Fowler v HMRC; Indian Supreme Court in Engineering Analysis Centre of Excellence Private Limited and Others v CIT; Australian Full Federal Court in Addy v CoT; French Supreme Administrative Court in Valueclick; English Court of Appeal in Irish Bank Resolution Corporation v HMRC; JJ Management and others v HMRC; United States Tax Court in Adams Challenge v CIR; UK Tax Tribunals in Royal Bank of Canada v HMRC; Lloyd-Webber v HMRC; Esso Exploration and Production v HMRC; Glencore v HMRC; McCabe v HMRC; Padfield v HMRC; Davies v HMRC; Uddin v HMRC; English High Court in Minera Las Bambas v Glencore; Kotton v First Tier Tribunal; and CJEU in N Luxembourg I, and others (the ‘Danish beneficial ownership cases’); État belge v Pantochim; College Pension Plan of British Columbia v Finanzamt München; HB v Istituto Nazionale della Previdenza Sociale. About the Author Jonathan Schwarz BA, LLB (Witwatersrand), LLM (UC Berkeley), FTII is an English Barrister at Temple Tax Chambers in London and is also a South African Advocate and a Canadian and Irish Barrister. His practice focuses on international tax disputes as counsel and as an expert and advises on solving cross-border tax problems. He is a Visiting Professor at the Faculty of Law, King’s College London University. He has been listed as a leading tax Barrister in both the Legal 500, for international corporate tax, and Chambers’ Guide to the Legal Profession, for international transactions and particular expertise in transfer pricing. He has been lauded in Who’s Who Legal, UK Bar for his ‘brilliant’ handling of cross-border tax problems. In Chambers Guide, he is identified as ‘the double tax guru’ with ‘extraordinary depth of knowledge and experience when it comes to tax treaty issues and is a creative thinker and a clear and meticulous writer’.
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.