Why a Right to Legibility of Automated Decision-Making Exists in the General Data Protection Regulation
In the data-driven economy, the importance of algorithms has grown exponentially while artificial Intelligence applied to customer data management remains problematic for several reasons. Automated decision-making based on complex algorithms can not only determine the acceptance of a mortgage, the p...
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| Veröffentlicht in: | International data privacy law Jg. 7; H. 4; S. 243 - 265 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Oxford
Oxford University Press
01.11.2017
Oxford Publishing Limited (England) |
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| ISSN: | 2044-3994, 2044-4001 |
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| Abstract | In the data-driven economy, the importance of algorithms has grown exponentially while artificial Intelligence applied to customer data management remains problematic for several reasons. Automated decision-making based on complex algorithms can not only determine the acceptance of a mortgage, the price of an insurance policy,1 but can also lead to ‘subtler’ issues. For instance, they can be used to exploit consumers’ specific vulnerabilities in order to distort their purchasing attitudes.2 Oftentimes, these algorithms are not only unknown but also unintelligible by individuals. In some cases, eg where machine-learning technologies are deployed, decision-making algorithms may be unintelligible also to their data controller.3 This situation has led to define the current Information Society as a ‘black box’ society.4 In other terms, as we have explained elsewhere,5 the problem of these algorithms is the lack of ‘readability’ and ‘legibility’ from individuals directly concerned by them. |
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| AbstractList | In the data-driven economy, the importance of algorithms has grown exponentially while artificial Intelligence applied to customer data management remains problematic for several reasons. Automated decision-making based on complex algorithms can not only determine the acceptance of a mortgage, the price of an insurance policy,1 but can also lead to ‘subtler’ issues. For instance, they can be used to exploit consumers’ specific vulnerabilities in order to distort their purchasing attitudes.2 Oftentimes, these algorithms are not only unknown but also unintelligible by individuals. In some cases, eg where machine-learning technologies are deployed, decision-making algorithms may be unintelligible also to their data controller.3 This situation has led to define the current Information Society as a ‘black box’ society.4 In other terms, as we have explained elsewhere,5 the problem of these algorithms is the lack of ‘readability’ and ‘legibility’ from individuals directly concerned by them. |
| Audience | Professional |
| Author | Malgieri, Gianclaudio Comandé, Giovanni |
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| Copyright | The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2017 COPYRIGHT 2017 Oxford University Press Copyright Oxford Publishing Limited(England) Nov 2017 |
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| SubjectTerms | Administrative procedure Algorithms Automation Data security Decision making Freedom of information General Data Protection Regulation Laws, regulations and rules Questionnaires State laws |
| Title | Why a Right to Legibility of Automated Decision-Making Exists in the General Data Protection Regulation |
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