Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

Ethics and Information Technology 23 (S1):1-6 (2021)
  Copy   BIBTEX

Abstract

The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nation-wide server, raises concerns about citizens’ privacy and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking. We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens’ “personal data stores”, to be shared separately and selectively, voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity. This approach better protects the personal sphere of citizens and affords multiple benefits: it allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots on more finely-granulated geographic scale. The decentralized approach is also scalable to large populations, in that only the data of positive patients need be handled at a central level. Our recommendation is two-fold. First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allow the user to share spatio-temporal aggregates—if and when they want and for specific aims—with health authorities, for instance. Second, we favour a longer-term pursuit of realizing a Personal Data Store vision, giving users the opportunity to contribute to collective good in the measure they want, enhancing self-awareness, and cultivating collective efforts for rebuilding society.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,386

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Without a Trace: Why did Corona Apps Fail?Lucie White & Philippe van Basshuysen - 2021 - Journal of Medical Ethics 47 (12):1-4.
Protecting health privacy even when privacy is lost.T. J. Kasperbauer - 2020 - Journal of Medical Ethics 46 (11):768-772.
Views on Privacy. A Survey.Siân Brooke & Carissa Véliz - 2020 - In Data, Privacy, and the Individual.
Privacy Is Power.Carissa Véliz - 2020 - London, UK: Penguin (Bantam Press).
Data, Privacy, and the Individual.Carissa Véliz - 2020 - Center for the Governance of Change.
Data collection, counterterrorism and the right to privacy.Isaac Taylor - 2017 - Politics, Philosophy and Economics 16 (3):326-346.
COVID-19: Against a Lockdown Approach.Steven R. Kraaijeveld - 2020 - Asian Bioethics Review 13 (2):195-212.

Analytics

Added to PP
2021-02-03

Downloads
107 (#160,779)

6 months
84 (#50,382)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Mark Coté
Trent University
Frank Dignum
Utrecht University

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references