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Privacy Needs Reflection: Conceptional Design Rationales for Privacy-Preserving Explanation User Interfaces

Privacy-Preserving Explanation User Interface (PP-XUI)

Privacy-Preserving Explanation User Interface (PP-XUI)
Image Credit: Peter Sörries

Peter Sörries, Claudia Müller-Birn, Franziska Boenisch, Marian Margraf, Sabine Sayegh-Jodehl, Matthias Rose – 2021

The application of machine learning (ML) in the medical domain has recently received a lot of attention. However, the constantly growing need for data in such ML-based approaches raises many privacy concerns, particularly when data originate from vulnerable groups, for example, people with a rare disease. In this context, a challenging but promising approach is the design of privacy-preserving computation technologies (e.g. differential privacy). However, design guidance on how to implement such approaches in practice has been lacking. In our research, we explore these challenges in the design process by involving stakeholders from medicine, security, ML, and human-computer interaction, as well as patients themselves. We emphasize the suitability of reflective design in this context by considering the concept of privacy by design. Based on a real-world use case situated in the healthcare domain, we explore the existing privacy needs of our main stakeholders, i.e. medical researchers or physicians and patients. Stakeholder needs are illustrated within two scenarios that help us to reflect on contradictory privacy needs. This reflection process informs conceptional design rationales and our proposal for privacy-preserving explanation user interfaces. We propose that the latter support both patients’ privacy preferences for a meaningful data donation and experts’ understanding of the privacy-preserving computation technology employed.

Title
Privacy Needs Reflection: Conceptional Design Rationales for Privacy-Preserving Explanation User Interfaces
Author
Peter Sörries, Claudia Müller-Birn, Franziska Boenisch, Marian Margraf, Sabine Sayegh-Jodehl, Matthias Rose
Publisher
Gesellschaft für Informatik e.V.
Location
Bonn
Keywords
WerteRadar
Date
2021
Identifier
DOI: 10.18420/muc2021-mci-wsc-389
Source(s)
Appeared in
Mensch und Computer 2021 - Workshopband
Language
eng
Type
Text
BibTeX Code
@inproceedings{soerries_privacy_2021,
author = {S\"{o}rries, Peter AND M\"{u}ller-Birn, Claudia AND Glinka, Katrin AND Boenisch, Franziska AND Margraf, Marian AND Sayegh-Jodehl, Sabine AND Rose, Matthias},
title = {Privacy Needs Reflection: Conceptional Design Rationales for Privacy-Preserving Explanation User Interfaces},
booktitle = {Mensch und Computer 2021 - Workshopband},
year = {2021},
editor = {Wienrich, Carolin AND Wintersberger, Philipp AND Weyers, Benjamin} ,
doi = { 10.18420/muc2021-mci-wsc-389 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}