TY - GEN
T1 - Privacy policies and their lack of clear disclosure regarding the life cycle of user information
AU - Kumar, Priya
N1 - Publisher Copyright:
Copyright © 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85025826360&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85025826360&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85025826360
T3 - AAAI Fall Symposium - Technical Report
SP - 249
EP - 256
BT - FS-16-01
PB - AI Access Foundation
T2 - 2016 AAAI Fall Symposium
Y2 - 17 November 2016 through 19 November 2016
ER -