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This book brings together contributions from leading scholars in law and technology, analyzing the privacy issues raised by new data-driven technologies.Highlighting the challenges that technology poses to existing EU data protection laws, the book assesses whether current legal frameworks are fit for purpose, while maintaining a balance between supporting innovation and the protection of individual's privacy. Data privacy issues range from targeted advertising and facial recognition, systems based on Artificial Intelligence and blockchain, Machine-to-Machine (M2M) communication, to technologies that enable the detection of emotions and personal care robots.The book will be of interest to scholars, policymakers, and practitioners working in the field of law and technology, EU law and data protection.
Algorithms permeate our lives in numerous ways, performing tasks that until recently could only be carried out by humans. Artificial Intelligence (AI) technologies, based on machine learning algorithms and big-data-powered systems, can perform sophisticated tasks such as driving cars, analyzing medical data, and evaluating and executing complex financial transactions - often without active human control or supervision. Algorithms also play an important role in determining retail pricing, online advertising, loan qualification, and airport security. In this work, Martin Ebers and Susana Navas bring together a group of scholars and practitioners from across Europe and the US to analyze how this shift from human actors to computers presents both practical and conceptual challenges for legal and regulatory systems. This book should be read by anyone interested in the intersection between computer science and law, how the law can better regulate algorithmic design, and the legal ramifications for citizens whose behavior is increasingly dictated by algorithms.
Abonner på vårt nyhetsbrev og få rabatter og inspirasjon til din neste leseopplevelse.
Ved å abonnere godtar du vår personvernerklæring.