Being Profiled : : 10 Years of Profiling the European Citizen.
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Place / Publishing House: | Amsterdam : : Amsterdam University Press,, 2018. Ã2019. |
Year of Publication: | 2018 |
Edition: | 1st ed. |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (145 pages) |
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Bayamlioglu, Emre. Being Profiled : 10 Years of Profiling the European Citizen. 1st ed. Amsterdam : Amsterdam University Press, 2018. Ã2019. 1 online resource (145 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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. 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. Description based on publisher supplied metadata and other sources. Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. Electronic books. Baraliuc, Irina. Janssens, Liisa Albertha Wilhelmina. Hildebrandt, Mireille. Print version: Bayamlioglu, Emre Being Profiled:cogitas Ergo Sum Amsterdam : Amsterdam University Press,c2018 ProQuest (Firm) https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6637533 Click to View |
language |
English |
format |
eBook |
author |
Bayamlioglu, Emre. |
spellingShingle |
Bayamlioglu, Emre. Being Profiled : 10 Years of Profiling the European Citizen. 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. 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. |
author_facet |
Bayamlioglu, Emre. Baraliuc, Irina. Janssens, Liisa Albertha Wilhelmina. Hildebrandt, Mireille. |
author_variant |
e b eb |
author2 |
Baraliuc, Irina. Janssens, Liisa Albertha Wilhelmina. Hildebrandt, Mireille. |
author2_variant |
i b ib l a w j law lawj m h mh |
author2_role |
TeilnehmendeR TeilnehmendeR TeilnehmendeR |
author_sort |
Bayamlioglu, Emre. |
title |
Being Profiled : 10 Years of Profiling the European Citizen. |
title_sub |
10 Years of Profiling the European Citizen. |
title_full |
Being Profiled : 10 Years of Profiling the European Citizen. |
title_fullStr |
Being Profiled : 10 Years of Profiling the European Citizen. |
title_full_unstemmed |
Being Profiled : 10 Years of Profiling the European Citizen. |
title_auth |
Being Profiled : 10 Years of Profiling the European Citizen. |
title_new |
Being Profiled : |
title_sort |
being profiled : 10 years of profiling the european citizen. |
publisher |
Amsterdam University Press, |
publishDate |
2018 |
physical |
1 online resource (145 pages) |
edition |
1st ed. |
contents |
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. 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. |
isbn |
9789048550180 |
genre |
Electronic books. |
genre_facet |
Electronic books. |
url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6637533 |
illustrated |
Not Illustrated |
oclc_num |
1291317102 |
work_keys_str_mv |
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Being Profiled : 10 Years of Profiling the European Citizen. |
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Info : Unimarc and ISO-8859-1 translations identical, choosing ISO-8859-1. --- [ 856 : z ] |
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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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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. 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