Privacy policies and their lack of clear disclosure regarding the life cycle of user information

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Companies, particularly those in the information and communications technology sector, collect, aggregate, and store immense amounts of information about billions of people around the world. Privacy policies represent the primary means through which companies articulate to the public how they manage this user information. Extensive research has documented the problems with such policies, including that they are difficult to understand. This paper presents an analysis of 23 policies from 16 of the world's largest internet and telecommunications companies and shows the specific ways that vague or unclear language hinders comprehension of company practice. It argues that the lack of clarity in such policies presents a significant barrier toward empowering people to make informed choices about which products or services to use. The incoherent language in privacy policies can also hinder the widespread adoption of machine learning or other techniques to analyze such policies. Clearer disclosure from companies about how they use, share, and retain all types of information they collect will shed light on what the life cycle of user information looks like.

Original languageEnglish (US)
Title of host publicationFS-16-01
Subtitle of host publicationArtificial Intelligence for Human-Robot Interaction; FS-16-02: Cognitive Assistance in Government and Public Sector Applications; FS-16-03: Cross-Disciplinary Challenges for Autonomous Systems; FS-16-04: Privacy and Language Technologies; FS-16-05: Shared Autonomy in Research and Practice
PublisherAI Access Foundation
Pages249-256
Number of pages8
ISBN (Electronic)9781577357759
StatePublished - 2016
Event2016 AAAI Fall Symposium - Arlington, United States
Duration: Nov 17 2016Nov 19 2016

Publication series

NameAAAI Fall Symposium - Technical Report
VolumeFS-16-01 - FS-16-05

Conference

Conference2016 AAAI Fall Symposium
Country/TerritoryUnited States
CityArlington
Period11/17/1611/19/16

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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