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  • 1
    UID:
    gbv_1785441035
    Format: 1 online resource (145 pages)
    ISBN: 9789048550180
    Content: Intro -- Table Of Contents -- Profiling The European Citizen: Why Today'S Democracy Needs To Look Harder At The Negative Potential Of New Technology Than At Its Positive Potential -- Introitus: What Descartes Did Not Get -- Part I. Theories Of Normativity Between Law And Machine Learning -- From Agency-Enhancement Intentions To Profile-Based Optimisation Tools: What Is Lost In Translation -- Mathematical Values And The Epistemology Of Data Practices -- Stirring The Pots: Protective Optimization Technologies -- On The Possibility Of Normative Contestation Of Automated Data-Driven Decisions -- Part II. Transparency Theory For Data-Driven Decision Making -- How Is 'Transparency' Understood By Legal Scholars And The Machine Learning Community? -- Why Data Protection And Transparency Are Not Enough When Facing Social Problems Of Machine Learning In A Big Data Context -- Transparency Is The Perfect Cover-Up (If The Sun Does Not Shine) -- Transparency As Translation In Data Protection -- Part III. Presumption Of Innocence In Data-Driven Government -- The Presumption Of Innocence's Janus Head In Data-Driven Government -- Predictive Policing. In Defence Of 'True Positives' -- The Geometric Rationality Of Innocence In Algorithmic Decisions -- On The Presumption Of Innocence In Data-Driven Government. Are We Asking The Right Question? -- Part IV. Legal And Political Theory In Data-Driven Environments -- A Legal Response To Data-Driven Mergers -- Ethics As An Escape From Regulation. From "Ethics-Washing" To Ethics-Shopping? -- Citizens In Data Land -- Part V. Saving Machine Learning From P-Hacking -- From Inter-Subjectivity To Multi-Subjectivity: Knowledge Claims And The Digital Condition -- Preregistration Of Machine Learning Research Design. Against P-Hacking -- Induction Is Not Robust To Search -- Part VI. The Legal And Ml Status Of Micro-Targeting.
    Note: Description based on publisher supplied metadata and other sources
    Language: English
    Keywords: Electronic books. ; Electronic books.
    URL: FULL  ((Currently Only Available on Campus))
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  • 2
    UID:
    kobvindex_INTEBC1209538
    Format: 1 online resource (271 pages)
    Edition: 1st ed.
    ISBN: 9781134619085
    Content: Privacy, Due process and the Computational Turn: The Philosophy of Law Meets the Philosophy of Technology engages with the rapidly developing computational aspects of our world - including data mining, behavioural advertising, iGovernment, profiling for intelligence, customer relationship management, smart search engines, personalized news feeds, and so on - in order to consider their implications for the assumptions on which our legal framework has been built. The contributions to this volume focus on the issue of privacy, which is often equated with data privacy and data security, location privacy, anonymity, pseudonymity, unobservability, and unlinkability. Here, however, the extent to which predictive and other types of data analytics operate in ways that may - or may not - violate privacy is rigorously taken up, both technologically and legally, in order to open up new possibilities for considering, and contesting, how we are increasingly being correlated and categorized
    Note: Cover -- Privacy, Due Process and the Computational Turn -- Title Page -- Copyright Page -- Table of Contents -- Acknowledgements -- Notes on Contributors -- Preface -- Introduction Privacy, due process and the computational turn at a glance: pointers for the hurried reader -- 1 Privacy, due process and the computational turn: a parable and a first analysis -- PART 1 Data science -- 2 A machine learning view on profiling -- PART 2 Anticipating machines -- 3 Abducing personal data, destroying privacy: diagnosing profiles through artefactual mediators -- 4 Prediction, pre-emption, presumption: the path of law after the computational turn -- 5 Digital prophecies and web intelligence -- 6 The end(s) of critique: data behaviourism versus due process -- PART 3 Resistance andamp -- solutions -- 7 Political and ethical perspectives on data obfuscation -- 8 On decision transparency, or how to enhance data protection after the computational turn -- 9 Profile transparency by design? Re-enabling double contingency -- Index
    Additional Edition: Print version Hildebrandt, Mireille Privacy, Due Process and the Computational Turn Oxford : Taylor & Francis Group,c2013 ISBN 9780415644815
    Language: English
    Keywords: Electronic books
    URL: Full-text  ((OIS Credentials Required))
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