TY - GEN
T1 - Breaking Down Privacy by Design
T2 - 30th Americas Conference on Information Systems, AMCIS 2024
AU - Klymenko, Alexandra
AU - Meisenbacher, Stephen
AU - Polat, Ali Asaf
AU - Matthes, Florian
N1 - Publisher Copyright:
© 2024 30th Americas Conference on Information Systems, AMCIS 2024. All rights reserved.
PY - 2024
Y1 - 2024
N2 - The age of big data has raised concerns over how organizations processing data can best safeguard the privacy of individuals. The framework of Privacy by Design (PbD) provides a foundation for the integration of privacy into systems proactively and not reactively, setting the standard for privacy as the default mindset. Particularly in the demonstration of compliance as mandated by data protection regulations, the seven principles proposed by PbD can serve as a useful starting point for responsible data processing. Nevertheless, the principles of PbD are intentionally open-ended and do not make a distinction between legal, technical, and organizational aspects. Based on existing literature, we address this gap by investigating PbD from these three perspectives, with a particular focus on mapping PbD principles to Privacy-Enhancing Technologies. We validate our findings in a series of iterative sessions with privacy professionals, who confirm the accuracy and practical relevance of our work.
AB - The age of big data has raised concerns over how organizations processing data can best safeguard the privacy of individuals. The framework of Privacy by Design (PbD) provides a foundation for the integration of privacy into systems proactively and not reactively, setting the standard for privacy as the default mindset. Particularly in the demonstration of compliance as mandated by data protection regulations, the seven principles proposed by PbD can serve as a useful starting point for responsible data processing. Nevertheless, the principles of PbD are intentionally open-ended and do not make a distinction between legal, technical, and organizational aspects. Based on existing literature, we address this gap by investigating PbD from these three perspectives, with a particular focus on mapping PbD principles to Privacy-Enhancing Technologies. We validate our findings in a series of iterative sessions with privacy professionals, who confirm the accuracy and practical relevance of our work.
KW - Data Privacy
KW - Privacy by Design
KW - Privacy-Enhancing Technologies
UR - http://www.scopus.com/inward/record.url?scp=85213010815&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85213010815
T3 - 30th Americas Conference on Information Systems, AMCIS 2024
BT - 30th Americas Conference on Information Systems, AMCIS 2024
PB - Association for Information Systems
Y2 - 15 August 2024 through 17 August 2024
ER -