Algorithmic Stages in Privacy of Data Analytics: Process and Probabilities

R.P. Loui, Arno R. Lodder, Stephanie A. Quick

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Abstract

Technological advances continue to produce massive amounts of information from a variety of sources about our everyday lives. The simple use of a smartphone, for example, can generate data on individuals through telephone records (including location data), social media activity, Internet browsing, e-commerce transactions, and email communications. Much attention has been given to expectations of privacy in light of this data collection, especially consumer privacy. Much attention has also been given to how and when government agencies collect and use this data to monitor the activities of individuals.
In previous work, we discussed three aspects of data analytics in the context of intelligence agencies that matter, but are often overlooked: stages, numbers, and the human factor. We made the following observations. First, stages of the algorithmic process should be included in what legal constraints apply to these activities. Secondly, the law should take into account the difference between people and machines. Thirdly, the law should think more about numbers. Although each of these topics deserves further discussion, we focus in this chapter in particular on the first issue: stages.
Original languageEnglish
Title of host publicationThe Cambridge Handbook of the Law of Algorithms
EditorsW Barfield
PublisherCambridge University Press
Chapter30
Pages654-664
Number of pages11
ISBN (Electronic)9781108680844
ISBN (Print)9781108481960
DOIs
Publication statusPublished - 5 Nov 2020

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