Visible to the public Contextual Integrity Up and Down the Data Food ChainConflict Detection Enabled

TitleContextual Integrity Up and Down the Data Food Chain
Publication TypeJournal Article
Year of Publication2019
AuthorsHelen Nissenbaum
JournalTheoretical Inquiries in Law
Volume20
Start Page221
Issue1
Pagination221–256
Date Published01/2019
KeywordsContextual Integrity for Computer Systems, ICSI, Policy-Governed Secure Collaboration
Abstract

According to the theory of contextual integrity (CI), privacy norms prescribeinformation flows with reference to five parameters -- sender, recipient, subject, information type, and transmission principle. Because privacy is grasped contextually (e.g., health, education, civic life, etc.), the values of these parameters range over contextually meaningful ontologies -- of information types (or topics) and actors (subjects, senders, and recipients), incontextually defined capacities. As an alternative to predominant approaches to privacy, which were ineffective against novel information practices enabled by IT, CI was able both to pinpoint sources of disruption andprovide grounds for either accepting or rejecting them. Mounting challengesfrom a burgeoning array of networked, sensor-enabled devices (IoT) and data-ravenous machine learning systems, similar in form though magnified in scope, call for renewed attention to theory. This Article introduces themetaphor of a data (food) chain to capture the nature of these challenges.With motion up the chain, where data of higher order is inferred from lower-order data, the crucial question is whether privacy norms governing lower-order data are sufficient for the inferred higher-order data. While CI has a response to this question, a greater challenge comes from data primitives, such as digital impulses of mouse clicks, motion detectors, and bare GPS coordinates, because they appear to have no meaning. Absent a semantics, they escape CI's privacy norms entirely.

URLhttps://www7.tau.ac.il/ojs/index.php/til/article/view/1614
Citation Keynissenbaum19law
Refereed DesignationUnknown