Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (148 p.)

ISBN: 9789463722124

Content: Profiling the European citizen: why today's democracy needs to look harder at the negative potential of new technology than at its positive potential

Note: English

Language: English

URL: kostenfrei

UID:

Format: 1 online resource (148)

Edition: 1st ed.

Content: This book celebrates and mourns the increasing relevance of the 2008 volume of 'Profiling the European Citizen. Cross-Disciplinary Perspectives' (edited by Mireille Hildebrandt & Serge Gutwirth). Both volumes contain in-depth investigations by lawyers, philosophers and computer scientists into the legal, philosophical and computational background of the emerging algorithmic order. In BEING PROFILED:COGITAS ERGO SUM 23 scholars engage with the issues, underpinnings, operations and implications of micro-targeting, data-driven critical infrastructure, ethics-washing, p-hacking and democratic disruption. These issues have now become part of everyday life, reinforcing the urgency of the question: are we becoming what machines infer about us, or are we?This book has been designed as a work of art by Bob van Dijk, the hardcopy has been printed as a limited edition. The separate chapters (2000 word provocations) will become available in open access in 2019.

Note: Frontmatter -- , 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 -- , Profiling As Inferred Data. Amplifier Effects And Positive Feedback Loops / , A Prospect Of The Future. How Autonomous Systems May Qualify As Legal Persons / , Profiles Of Personhood. On Multiple Arts Of Representing Subjects / , Imagining Data, Between Laplace'S Demon And The Rule Of Succession / , Authors And Editors , English.

Additional Edition: ISBN 90-485-5018-1

Additional Edition: ISBN 94-6372-212-2

Language: English

UID:

Format: 1 online resource (148)

Edition: 1st ed.

Content: This book celebrates and mourns the increasing relevance of the 2008 volume of 'Profiling the European Citizen. Cross-Disciplinary Perspectives' (edited by Mireille Hildebrandt & Serge Gutwirth). Both volumes contain in-depth investigations by lawyers, philosophers and computer scientists into the legal, philosophical and computational background of the emerging algorithmic order. In BEING PROFILED:COGITAS ERGO SUM 23 scholars engage with the issues, underpinnings, operations and implications of micro-targeting, data-driven critical infrastructure, ethics-washing, p-hacking and democratic disruption. These issues have now become part of everyday life, reinforcing the urgency of the question: are we becoming what machines infer about us, or are we?This book has been designed as a work of art by Bob van Dijk, the hardcopy has been printed as a limited edition. The separate chapters (2000 word provocations) will become available in open access in 2019.

Note: Frontmatter -- , 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 -- , Profiling As Inferred Data. Amplifier Effects And Positive Feedback Loops / , A Prospect Of The Future. How Autonomous Systems May Qualify As Legal Persons / , Profiles Of Personhood. On Multiple Arts Of Representing Subjects / , Imagining Data, Between Laplace'S Demon And The Rule Of Succession / , Authors And Editors , English.

Additional Edition: ISBN 90-485-5018-1

Additional Edition: ISBN 94-6372-212-2

Language: English

UID:

Format: 1 online resource (148)

Edition: 1st ed.

Content: This book celebrates and mourns the increasing relevance of the 2008 volume of 'Profiling the European Citizen. Cross-Disciplinary Perspectives' (edited by Mireille Hildebrandt & Serge Gutwirth). Both volumes contain in-depth investigations by lawyers, philosophers and computer scientists into the legal, philosophical and computational background of the emerging algorithmic order. In BEING PROFILED:COGITAS ERGO SUM 23 scholars engage with the issues, underpinnings, operations and implications of micro-targeting, data-driven critical infrastructure, ethics-washing, p-hacking and democratic disruption. These issues have now become part of everyday life, reinforcing the urgency of the question: are we becoming what machines infer about us, or are we?This book has been designed as a work of art by Bob van Dijk, the hardcopy has been printed as a limited edition. The separate chapters (2000 word provocations) will become available in open access in 2019.

Note: Frontmatter -- , 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 -- , Profiling As Inferred Data. Amplifier Effects And Positive Feedback Loops / , A Prospect Of The Future. How Autonomous Systems May Qualify As Legal Persons / , Profiles Of Personhood. On Multiple Arts Of Representing Subjects / , Imagining Data, Between Laplace'S Demon And The Rule Of Succession / , Authors And Editors , English.

Additional Edition: ISBN 90-485-5018-1

Additional Edition: ISBN 94-6372-212-2

Language: English