Can Explanations Support Privacy Awareness? A Research Roadmap

verfasst von

Wasja Brunotte, Larissa Chazette, Kai Korte

Abstract

Using systems as support tools for decision-making is a common part of a citizen's daily life. Systems support users in various tasks, collecting and processing data to learn about a user and provide more tailor-made services. This data collection, however, means that users' privacy sphere is increasingly at stake. Informing the user about what data is collected and how it is processed is key to reaching transparency, trustworthiness, and ethics in modern systems. While laws and regulations have come into existence to inform the user about privacy terms, this information is still conveyed in a complex and verbose way to the user, making it unintelligible to them. Meanwhile, explainability is seen as a way to disclose information about a system or its behavior in an intelligible manner. In this work, we propose explanations as a means to enhance users' privacy awareness. As a long-term goal, we want to understand how to achieve more privacy awareness with respect to systems and develop heuristics that support it, helping end-users to protect their privacy. We present preliminary results on private sphere explanations and present our research agenda towards our long-term goal.

Organisationseinheit(en)

Fachgebiet Software Engineering
PhoenixD: Simulation, Fabrikation und Anwendung optischer Systeme
Institut für Rechtsinformatik (IRI)

Typ

Aufsatz in Konferenzband

Seiten

176-180

Anzahl der Seiten

5

Publikationsdatum

2021

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Ingenieurwesen (insg.), Informatik (insg.), Strategie und Management

Elektronische Version(en)

https://doi.org/10.1109/REW53955.2021.00032 (Zugang: Geschlossen)