Consuming disaster data: is IT ethical?
- Most people use disaster apps infrequently, primarily only in situations of turmoil, when they are physically or emotionally vulnerable. Personal data may be necessary to help them, data protections may be waived. In some circumstances, free movement and liberties may be curtailed for public protection, as was seen in the current COVID pandemic. Consuming and producing disaster data can deepen problems arising at the confluence of surveillance and disaster capitalism, where data has become a tool for solutionist instrumentarian power (Zuboff 2019, Klein 2008) and part of a destructive mode of one world worlding (Law 2015, Escobar 2020). The special use of disaster apps prompts us to ask what role consumer protection could play in safeguarding democratic liberties. Within this work, a set of current approaches are briefly reviewed and two case studies are presented of what we call appropriation or design against datafication. These combine document analysis and literature research with several months of online and field ethnographic observation. The first case study examines disaster app use in response to the 2010 Haiti earthquake, the second explores COVID Contact Tracing in Taiwan in 2020/21. Against this backdrop we ask, ‘how could and how should consumer protection respond to problems of surveillance disaster capitalism?’ Drawing on our work with the is IT ethical? Exchange, a co-designed community platform and knowledge exchange for disaster information sharing, and a Societal Readiness Assessment Framework that we are developing alongside it, we explore how co-design methodologies could help define answers.
Document Type: | Conference Object |
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Language: | English |
Author: | Sung-Yueh Perng, Monika Büscher, Luke Moffat |
Parent Title (English): | Alexander Boden, Timo Jakobi, Gunnar Stevens, Christian Bala (Hgg.): Verbraucherdatenschutz - Technik und Regulation zur Unterstützung des Individuums |
Article Number: | 06 |
Number of pages: | 22 |
First Page: | 1 |
Last Page: | 22 |
ISBN: | 978-3-96043-095-7 |
ISSN: | 2750-4093 |
URN: | urn:nbn:de:hbz:1044-opus-60253 |
DOI: | https://doi.org/10.18418/978-3-96043-095-7_06 |
Publishing Institution: | Hochschule Bonn-Rhein-Sieg |
Date of first publication: | 2021/12/06 |
Funding: | The research for this paper is supported by the Taiwanese Ministry of Science and Technology projects AI Cities in East Asia (MOST 109-2410-H-010-001-MY3) and the Research Center for Epidemic Prevention of the National Yang Ming Chiao Tung University (MOST109-2327-B-010-005). Support was also provided by the UK Engineering and Physical Sciences Research Council (EPSRC) DecarboN8 and the UKRI-GCRF project Gridding Equitable Urban Futures in Areas of Transition in Cali, Colombia and Havana, Cuba (GREAT) (grant numbers EP/S032002/1 and ES/T008008/1). This research was also supported in part by the UKRI Trustworthy Autonomous Systems project. |
Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 005 Computerprogrammierung, Programme, Daten |
Conference volumes: | Verbraucherforum für Verbraucherinformatik / Verbraucherforum für Verbraucherinformatik, 23.9.2021 |
Entry in this database: | 2021/12/06 |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |