Data Driven Personalisation In Markets Politics And Law

This book critiques the use of algorithms to pre-empt personal choices in its profound effect on markets, democracy and the rule of law.

AI appears to disrupt key private law doctrines, and threatens to undermine some of the principal rights protected by private law. The social changes prompted by AI may also generate significant new challenges for private law. It is thus likely that AI will lead to new developments in private law. This Cambridge Handbook is the first dedicated treatment of the interface between AI and private law, and the challenges that AI poses for private law. This Handbook brings together a global team of private law experts and computer scientists to deal with this problem, and to examine the interface between private law and AI, which includes issues such as whether existing private law can address the challenges of AI and whether and how private law needs to be reformed to reduce the risks of AI while retaining its benefits.

This revised and expanded edition of the Research Handbook on International Law and Cyberspace brings together leading scholars and practitioners to examine how international legal rules, concepts and principles apply to cyberspace and the activities occurring within it. In doing so, contributors highlight the difficulties in applying international law to cyberspace, assess the regulatory efficacy of these rules and, where necessary, suggest adjustments and revisions.

This book constitutes papers from the workshops held at the 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, which took place in Trondheim, Norway, in September 2019. The 11 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 33 submissions to the following workshops: DTIS: Digital Transformation for an Inclusive Society TPSIE: Trust and Privacy Aspects of Smart Information Environments 3(IT): Innovative Teaching of Introductory Topics in Information Technology CROPS: CROwd-Powered e-Services

The Elgar Encyclopedia of Technology and Politics is a landmark resource that offers a comprehensive overview of the ways in which technological development is reshaping politics. Providing an unparalleled starting point for research, it addresses all the major contemporary aspects of the field, comprising entries written by over 90 scholars from 33 different countries on 5 continents.

This open access book focuses on the impact of Artificial Intelligence (AI) on individuals and society from a legal perspective, providing a comprehensive risk-based methodological framework to address it. Building on the limitations of data protection in dealing with the challenges of AI, the author proposes an integrated approach to risk assessment that focuses on human rights and encompasses contextual social and ethical values. The core of the analysis concerns the assessment methodology and the role of experts in steering the design of AI products and services by business and public bodies in the direction of human rights and societal values. Taking into account the ongoing debate on AI regulation, the proposed assessment model also bridges the gap between risk-based provisions and their real-world implementation. The central focus of the book on human rights and societal values in AI and the proposed solutions will make it of interest to legal scholars, AI developers and providers, policy makers and regulators. Alessandro Mantelero is Associate Professor of Private Law and Law & Technology in the Department of Management and Production Engineering at the Politecnico di Torino in Turin, Italy.

This ground-breaking and timely book explores how big data, artificial intelligence and algorithms are creating new types of agency, and the impact that this is having on our lives and the rule of law. Addressing the issues in a thoughtful, cross-disciplinary manner, the authors examine the ways in which data-driven agency is transforming democratic practices and the meaning of individual choice. Leading scholars in law, philosophy, computer science and politics analyse the latest innovations in data science and machine learning, assessing the actual and potential implications of these technologies. They investigate how this affects our understanding of such concepts as agency, epistemology, justice, transparency and democracy, and advocate a precautionary approach that takes the effects of data-driven agency seriously without taking it for granted. Scholars and students of law, ethics and philosophy, in particular legal, political and democratic theory, will find this book a compelling and invaluable read, as will computer scientists interested in the implications of their own work. It will also prove insightful for academics and activists working on privacy, fairness and anti-discrimination. Contributors include: J.E. Cohen, G. de Vries, S. Delacroix, P. Dumouchel, C. Ess, M. Garnett, E.H. Gerding, R. Gomer, C. Graber, M. Hildebrandt, C. Maple, K. O'Hara, P. Ohm, m.c. schraefel, D. Stevens, N. van Dijk, M. Veale

Recent studies on competition law and digital markets reveal that accumulating personal information through data collection and acquisition methods benefits consumers considerably. Free of charge, fast and personalised services and products are offered to consumers online. Collected data is now an indispensable part of online businesses to the point that a new economy, a data-driven sector, has emerged. Many markets such as the social network, search engine, online advertising and e-commerce are regarded as data-driven markets in which the utilisation of Big Data is a requisite for the success of operations. However, the accumulation and use of data brings competition law concerns as they contribute to market power in the online world, resulting in a few technology giants gaining unprecedented market power due to the Big Data accumulation, indirect network effects and the creation of online ecosystems. As technology giants have billions of consumers worldwide, data-driven markets are truly global. In these data-driven markets, technology giants abuse their dominant positions, but existing competition law tools seem ineffective in addressing market power and assessing abusive behaviour related to Big Data. This book argues that a novel approach to the data-driven sector must be developed through the application of competition law rules to address this. It argues that current and potential conflicts can be mitigated by extending the competition law assessment beyond the current competition law tools to offer a modernised and unified approach to the Big Data-related competition issues. Promoting new legal tests for addressing the market power of technology giants and assessing abusive behaviour in data-driven markets, this book advocates for cooperation between competition and data protection authorities. It will be of interest to students, academics and practitioners with an interest in competition law and data protection.