Mireille Hildebrandt holds the chair of Smart Environments, Data Protection and the Rule of Law at the Institute for Computer and Information Sciences (ICIS) at Radboud University Nijmegen, and is Associate Professor of Jurisprudence at the Erasmus School of Law, Erasmus University Rotterdam.Katja de Vries is based in the interdisciplinary Center on Law, Science, Technology andSociety (LSTS) at the Vrije Universiteit Brussel (VUB).

While the purpose of this volume was to investigate the effects that these substantive topics are having on societal values such as privacy, autonomy and due process, the authors discussions on the means that allow for governments and corporations to utilise such tools—for example, data mining, machine learning and artificial intelligence; and, the moral and ethical implications of these technologies, were well articulated, thought-provoking and fascinating.- Devin Frank for Birkbeck Law Review Volume 2 issue 1 April 2014

• Acknowledgments; On the contributors; Preface; 0. ‘Privacy, Due Process and the Computational Turn’ at a glance. Pointers for the hurried reader; Chapter 1: Privacy, Due Process and the Computational Turn A parable and a first analysis,; Part 1 Data Science; Chapter 2: A Machine Learning View on Profiling ; Part 2 Anticipating Machines; Chapter 3: Abducing Personal Data, Destroying Privacy. Diagnosing Profiles through Artifactual Mediators,; Chapter 4: Prediction, Preemption, Presumption: The Path of Law After the Computational Turn; Chapter 5: Digital prophecies and web intelligence,; Chapter 6: The end(s) of critique : data-behaviourism vs. due-process; Part 3 Resistance & Solutions; Chapter 7: Political and Ethical Perspectives on Data Obfuscation; Chapter 8: On decision transparency; Chapter 9: Profile transparency by design? Re-enabling double contingency; Index

Mireille Hildebrandt holds the chair of Smart Environments, Data Protection and the Rule of Law at the Institute for Computer and Information Sciences (ICIS) at Radboud University Nijmegen, and is Associate Professor of Jurisprudence at the Erasmus School of Law, Erasmus University Rotterdam.Katja de Vries is based in the interdisciplinary Center on Law, Science, Technology andSociety (LSTS) at the Vrije Universiteit Brussel (VUB).

While the purpose of this volume was to investigate the effects that these substantive topics are having on societal values such as privacy, autonomy and due process, the authors discussions on the means that allow for governments and corporations to utilise such tools—for example, data mining, machine learning and artificial intelligence; and, the moral and ethical implications of these technologies, were well articulated, thought-provoking and fascinating.- Devin Frank for Birkbeck Law Review Volume 2 issue 1 April 2014

• Acknowledgments; On the contributors; Preface; 0. ‘Privacy, Due Process and the Computational Turn’ at a glance. Pointers for the hurried reader; Chapter 1: Privacy, Due Process and the Computational Turn A parable and a first analysis,; Part 1 Data Science; Chapter 2: A Machine Learning View on Profiling ; Part 2 Anticipating Machines; Chapter 3: Abducing Personal Data, Destroying Privacy. Diagnosing Profiles through Artifactual Mediators,; Chapter 4: Prediction, Preemption, Presumption: The Path of Law After the Computational Turn; Chapter 5: Digital prophecies and web intelligence,; Chapter 6: The end(s) of critique : data-behaviourism vs. due-process; Part 3 Resistance & Solutions; Chapter 7: Political and Ethical Perspectives on Data Obfuscation; Chapter 8: On decision transparency; Chapter 9: Profile transparency by design? Re-enabling double contingency; Index

Mireille Hildebrandt holds the chair of Smart Environments, Data Protection and the Rule of Law at the Institute for Computer and Information Sciences (ICIS) at Radboud University Nijmegen, and is Associate Professor of Jurisprudence at the Erasmus School of Law, Erasmus University Rotterdam.Katja de Vries is based in the interdisciplinary Center on Law, Science, Technology andSociety (LSTS) at the Vrije Universiteit Brussel (VUB).

While the purpose of this volume was to investigate the effects that these substantive topics are having on societal values such as privacy, autonomy and due process, the authors discussions on the means that allow for governments and corporations to utilise such tools—for example, data mining, machine learning and artificial intelligence; and, the moral and ethical implications of these technologies, were well articulated, thought-provoking and fascinating.- Devin Frank for Birkbeck Law Review Volume 2 issue 1 April 2014

• Acknowledgments; On the contributors; Preface; 0. ‘Privacy, Due Process and the Computational Turn’ at a glance. Pointers for the hurried reader; Chapter 1: Privacy, Due Process and the Computational Turn A parable and a first analysis,; Part 1 Data Science; Chapter 2: A Machine Learning View on Profiling ; Part 2 Anticipating Machines; Chapter 3: Abducing Personal Data, Destroying Privacy. Diagnosing Profiles through Artifactual Mediators,; Chapter 4: Prediction, Preemption, Presumption: The Path of Law After the Computational Turn; Chapter 5: Digital prophecies and web intelligence,; Chapter 6: The end(s) of critique : data-behaviourism vs. due-process; Part 3 Resistance & Solutions; Chapter 7: Political and Ethical Perspectives on Data Obfuscation; Chapter 8: On decision transparency; Chapter 9: Profile transparency by design? Re-enabling double contingency; Index