Journal ArticleDOI
Regulating Big Data. The guidelines of the Council of Europe in the context of the European data protection framework
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The provisions of the Guidelines and their attempt to address the major challenges of the new big data paradigm set the stage for concluding remarks about the most suitable regulatory model to deal with the different issues posed by the development of technology.About:
This article is published in Computer Law & Security Review.The article was published on 2017-10-01. It has received 23 citations till now. The article focuses on the topics: General Data Protection Regulation & Data Protection Act 1998.read more
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Ethics and Privacy in AI and Big Data: Implementing Responsible Research and Innovation
Bernd Carsten Stahl,David Wright +1 more
TL;DR: It is suggested that the concept of responsible research and innovation (RRI) can provide the framing required to act with a view to ensuring that the technologies are socially acceptable, desirable, and sustainable.
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Regulating Privacy: Data Protection and Public Policy in Europe and the United States Colin J. Bennett Ithaca: Cornell University Press, 1992, pp. xix, 263
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Platform value(s): A multidimensional framework for online responsibility
Luca Belli,Nicolo Zingales +1 more
TL;DR: A normative framework is suggested which enhances the need for a new kind of knowledge-service creation in the form of local public-interest technology and proposes a negotiated contractual system that seeks to balance platform values with public values in an attempt to address the digital enforcement problem driven by the functional sovereignty role of platforms.
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Profiling tax and financial behaviour with big data under the GDPR
TL;DR: The extent to which the GDPR provisions establishes a protection regime for individuals against advanced profiling techniques is examined, enabling thus accountability and transparency in the financial and tax domain.
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Critical questions for big data
danah boyd,Kate Crawford +1 more
TL;DR: The era of Big Data has begun as discussed by the authors, where diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by people.
Simple Demographics Often Identify People Uniquely
TL;DR: This article used 1990 U.S. Census summary data to determine how many individuals within geographically situated populations had combinations of demographic values that occurred infrequently, and found that combinations of few characteristics often combine in populations to uniquely or nearly uniquely identify some individuals.
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Unique in the shopping mall: On the reidentifiability of credit card metadata
TL;DR: It is shown that four spatiotemporal points are enough to uniquely reidentify 90% of individuals and that knowing the price of a transaction increases the risk of reidentification by 22%, on average.
Posted Content
The Scored Society: Due Process for Automated Predictions
TL;DR: P Procedural regularity is essential for those stigmatized by “artificially intelligent” scoring systems, and regulators should be able to test scoring systems to ensure their fairness and accuracy.