Making Context the Central Concept in Privacy Engineering

Autor/inn/en	Hoel, Tore; Chen, Weiqin; Pawlowski, Jan M.
Titel	Making Context the Central Concept in Privacy Engineering
Quelle	In: Research and Practice in Technology Enhanced Learning, 15 (2020), Artikel 21 (26 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Hoel, Tore)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1793-7078
DOI	10.1186/s41039-020-00141-9
Schlagwörter	Privacy; Engineering; Context Effect; Information Security; Integrity; Artificial Intelligence; Models; Design; Shared Resources and Services + Suchen Sie Ihr Suchwort? Privatsphäre; Maschinenbau; Integrität; Künstliche Intelligenz; Analogiemodell; Gemeinwirtschaft
Abstract	There is a gap between people's online sharing of personal data and their concerns about privacy. Till now, this gap is addressed by attempting to match individual privacy preferences with service providers' options for data handling. This approach has ignored the role different contexts play in data sharing. This paper aims at giving privacy engineering a new direction putting context centre stage and exploiting the affordances of machine learning in handling contexts and negotiating data sharing policies. This research is explorative and conceptual, representing the first development cycle of a design science research project in privacy engineering. The paper offers a concise understanding of data privacy as a foundation for design extending the seminal contextual integrity theory of Helen Nissenbaum. This theory started out as a normative theory describing the moral appropriateness of data transfers. In our work, the contextual integrity model is extended to a socio-technical theory that could have practical impact in the era of artificial intelligence. New conceptual constructs such as 'context trigger', 'data sharing policy' and 'data sharing smart contract' are defined, and their application is discussed from an organisational and technical level. The constructs and design are validated through expert interviews; contributions to design science research are discussed, and the paper concludes with presenting a framework for further privacy engineering development cycles. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01