TY - JOUR
AU - Mainz, Jakob
AB - The Journal of Value Inquiry https://doi.org/10.1007/s10790-022-09911-8 REGUL AR PAPER Jakob Mainz Accepted: 17 August 2022 © The Author(s), under exclusive licence to Springer Nature B.V. 2022 In this paper, I defend what I call the ‘Inference Principle’. This principle holds that if an agent obtains some information legitimately, then the agent can make any inference she wants based on the information, without violating anyone’s right to privacy. This principle is interesting for at least three reasons. First, it constitutes a novel answer to the timely question of whether the widespread use of ‘data analytics’ to infer personal information about individuals is morally permissible. Second, it contradicts what seems to be a common view of inferences’ ability to violate privacy rights. Third, it offers an account of the theoretically underdeveloped issue of what duties are engen- dered by the moral right to privacy with regards to inferred information. State-of-the-art data analytics makes it possible to accurately infer all sorts of personal information about individuals, based on big data sets containing seemingly trivial information, such as what car people drive, who their friends are, what gro- ceries they buy, etc. Statistical correlations in the datasets reveal ‘new’ information about individuals, such as 
TI - Inferences and the Right to Privacy
JF - The Journal of Value Inquiry
DO - 10.1007/s10790-022-09911-8
DA - 2024-12-01
UR - https://www.deepdyve.com/lp/springer-journals/inferences-and-the-right-to-privacy-8Hqeca6UTH
SP - 563
EP - 581
VL - 58
IS - 4
DP - DeepDyve
ER -