Algorithms and Law

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.

'There is a shift in the academic debate from the 'if' to the 'how' AI should and could be regulated. This volume covers a broad range of fields, from robotics to copyrights and financial services, all united in one question: what would a regulatory framework that allows us to de-mystify algorithms and get to grips with the commercialisation of data look like? The regulatability of AI is the key issue of our times. The ten contributions provide dense up-to-date information and enticing inspiration in the search for societally acceptable solutions.' Hans W. Micklitz, European University Institute

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