Rethinking Database Rights And Data Ownership In An Ai World

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Rethinking Database Rights And Data Ownership In An Ai World

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Author : Kannan Ramesh
language : en
Publisher:
Release Date : 2020

Rethinking Database Rights And Data Ownership In An Ai World written by Kannan Ramesh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Big data categories.

Ai Data And Private Law

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Author : Gary Chan Kok Yew
language : en
Publisher: Bloomsbury Publishing
Release Date : 2021-09-23

Ai Data And Private Law written by Gary Chan Kok Yew and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-23 with Law categories.

This book examines the interconnections between artificial intelligence, data governance and private law rules with a comparative focus on selected jurisdictions in the Asia-Pacific region. The chapters discuss the myriad challenges of translating and adapting theory, doctrines and concepts to practice in the Asia-Pacific region given their differing circumstances, challenges and national interests. The contributors are legal experts from the UK, Israel, Korea, and Singapore with extensive academic and practical experience. The essays in this collection cover a wide range of topics, including data protection and governance, data trusts, information fiduciaries, medical AI, the regulation of autonomous vehicles, the use of blockchain technology in land administration, the regulation of digital assets and contract formation issues arising from AI applications. The book will be of interest to members of the judiciary, policy makers and academics who specialise in AI, data governance and/or private law or who work at the intersection of these three areas, as well as legal technologists and practising lawyers in the Asia-Pacific, the UK and the US.

Big Data Databases And Ownership Rights In The Cloud

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Author : Marcelo Corrales Compagnucci
language : en
Publisher: Springer Nature
Release Date : 2019-11-02

Big Data Databases And Ownership Rights In The Cloud written by Marcelo Corrales Compagnucci and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-02 with Law categories.

Two of the most important developments of this new century are the emergence of cloud computing and big data. However, the uncertainties surrounding the failure of cloud service providers to clearly assert ownership rights over data and databases during cloud computing transactions and big data services have been perceived as imposing legal risks and transaction costs. This lack of clear ownership rights is also seen as slowing down the capacity of the Internet market to thrive. Click-through agreements drafted on a take-it-or-leave-it basis govern the current state of the art, and they do not allow much room for negotiation. The novel contribution of this book proffers a new contractual model advocating the extension of the negotiation capabilities of cloud customers, thus enabling an automated and machine-readable framework, orchestrated by a cloud broker. Cloud computing and big data are constantly evolving and transforming into new paradigms where cloud brokers are predicted to play a vital role as innovation intermediaries adding extra value to the entire life cycle. This evolution will alleviate the legal uncertainties in society by means of embedding legal requirements in the user interface and related computer systems or its code. This book situates the theories of law and economics and behavioral law and economics in the context of cloud computing and takes database rights and ownership rights of data as prime examples to represent the problem of collecting, outsourcing, and sharing data and databases on a global scale. It does this by highlighting the legal constraints concerning ownership rights of data and databases and proposes finding a solution outside the boundaries and limitations of the law. By allowing cloud brokers to establish themselves in the market as entities coordinating and actively engaging in the negotiation of service-level agreements (SLAs), individual customers as well as small and medium-sized enterprises could efficiently and effortlessly choose a cloud provider that best suits their needs. This approach, which the author calls “plan-like architectures,” endeavors to create a more trustworthy cloud computing environment and to yield radical new results for the development of the cloud computing and big data markets.

Open Banking

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Author : Linda Jeng
language : en
Publisher: Oxford University Press
Release Date : 2022-01-07

Open Banking written by Linda Jeng and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-07 with Law categories.

Open banking is a silent revolution transforming the banking industry. It is the manifestation of the revolution of consumer technology in banking and will dramatically change not only how we bank, but also the world of finance and how we interact with it. Since the United Kingdom along with the rest of the European Union adopted rules requiring banks to share customer data to improve competition in the banking sector, a wave of countries from Asia to Africa to the Americas have adopted various forms of their own open banking regimes. Among Basel Committee jurisdictions, at least fifteen jurisdictions have some form of open banking, and this number does not even include the many jurisdictions outside the Basel Committee membership with open banking activities. Although U.S. banks and market participants have been sharing customer-permissioned data for the past twenty years and there have been recent policy discussions, such as the Obama administration's failed Consumer Data Privacy Bill and the Data Aggregation Principles of the Consumer Financial Protection Bureau, open banking is still a little-known concept among consumers and policymakers in the States. This book defines the concept of 'open banking' and explores key legal, policy, and economic questions raised by open banking.

The Importance Of Data Access Regimes For Artificial Intelligence And Machine Learning

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Author : Bertin Martens
language : en
Publisher:
Release Date : 2019

The Importance Of Data Access Regimes For Artificial Intelligence And Machine Learning written by Bertin Martens and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

Digitization triggered a steep drop in the cost of information. The resulting data glut created a bottleneck because human cognitive capacity is unable to cope with large amounts of information. Artificial intelligence and machine learning (AI/ML) triggered a similar drop in the cost of machine-based decision-making and helps in overcoming this bottleneck. Substantial change in the relative price of resources puts pressure on ownership and access rights to these resources. This explains pressure on access rights to data. ML thrives on access to big and varied datasets. We discuss the implications of access regimes for the development of AI in its current form of ML. The economic characteristics of data (non-rivalry, economies of scale and scope) favour data aggregation in big datasets. Non-rivalry implies the need for exclusive rights in order to incentivise data production when it is costly. The balance between access and exclusion is at the centre of the debate on data regimes. We explore the economic implications of several modalities for access to data, ranging from exclusive monopolistic control to monopolistic competition and free access. Regulatory intervention may push the market beyond voluntary exchanges, either towards more openness or reduced access. This may generate private costs for firms and individuals. Society can choose to do so if the social benefits of this intervention outweigh the private costs. We briefly discuss the main EU legal instruments that are relevant for data access and ownership, including the General Data Protection Regulation (GDPR) that defines the rights of data subjects with respect to their personal data and the Database Directive (DBD) that grants ownership rights to database producers. These two instruments leave a wide legal no-man's land where data access is ruled by bilateral contracts and Technical Protection Measures that give exclusive control to de facto data holders, and by market forces that drive access, trade and pricing of data. The absence of exclusive rights might facilitate data sharing and access or it may result in a segmented data landscape where data aggregation for ML purposes is hard to achieve. It is unclear if incompletely specified ownership and access rights maximize the welfare of society and facilitate the development of AI/ML.

The Impact Of Data Access Regimes On Artificial Intelligence And Machine Learning

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Author : Bertin Martens
language : en
Publisher:
Release Date : 2018

The Impact Of Data Access Regimes On Artificial Intelligence And Machine Learning written by Bertin Martens and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.

Digitization triggered a steep drop in the cost of information. The resulting data glut created a bottleneck because human cognitive capacity is unable to cope with large amounts of information. Artificial intelligence and machine learning (AI/ML) triggered a similar drop in the cost of machine-based decision-making and helps in overcoming this bottleneck. Substantial change in the relative price of resources puts pressure on ownership and access rights to these resources. This explains pressure on access rights to data. ML thrives on access to big and varied datasets. We discuss the implications of access regimes for the development of AI in its current form of ML. The economic characteristics of data (non-rivalry, economies of scale and scope) favour data aggregation in big datasets. Non-rivalry implies the need for exclusive rights in order to incentivise data production when it is costly. The balance between access and exclusion is at the centre of the debate on data regimes. We explore the economic implications of several modalities for access to data, ranging from exclusive monopolistic control to monopolistic competition and free access. Regulatory intervention may push the market beyond voluntary exchanges, either towards more openness or reduced access. This may generate private costs for firms and individuals. Society can choose to do so if the social benefits of this intervention outweigh the private costs. We briefly discuss the main EU legal instruments that are relevant for data access and ownership, including the General Data Protection Regulation (GDPR) that defines the rights of data subjects with respect to their personal data and the Database Directive (DBD) that grants ownership rights to database producers. These two instruments leave a wide legal no-man's land where data access is ruled by bilateral contracts and Technical Protection Measures that give exclusive control to de facto data holders, and by market forces that drive access, trade and pricing of data. The absence of exclusive rights might facilitate data sharing and access or it may result in a segmented data landscape where data aggregation for ML purposes is hard to achieve. It is unclear if incompletely specified ownership and access rights maximize the welfare of society and facilitate the development of AI/ML.

Ai 2041

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Author : Kai-Fu Lee
language : en
Publisher: Crown Currency
Release Date : 2021-09-14

Ai 2041 written by Kai-Fu Lee and has been published by Crown Currency this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with Social Science categories.

How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.

The Elements Of Big Data Value

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Author : Edward Curry
language : en
Publisher: Springer Nature
Release Date : 2021-08-01

The Elements Of Big Data Value written by Edward Curry and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-01 with Computers categories.

This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.

Ethics Of Computing

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Author : Jacques J. Berleur
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-04-30

Ethics Of Computing written by Jacques J. Berleur and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-04-30 with Business & Economics categories.

This major reference work represents the first attempt to confront, on a world-wide basis, the way computer associations face up to their own responsibilities in an age increasingly dominated by information and communication technology. The book deals with the codes of ethics and conduct, and related issues. It is the first book to deal with homogenous codes namely codes of national computer societies. Some thirty codes are compared and analysed in depth. To put these into perspective, there are discussion papers covering the methodological, philosophical and organisational issues.

Artificial Intelligence And International Economic Law

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Author : Shin-yi Peng
language : en
Publisher: Cambridge University Press
Release Date : 2021-10-14

Artificial Intelligence And International Economic Law written by Shin-yi Peng and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-14 with Computers categories.

Examines the interplay between artificial intelligence and international economic law, and its effects on global economic order. This title is also available as Open Access.