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Is privacy privacy?
Kobbi Nissim1, Alexandra Wood2
1Department of Computer Science, Georgetown University, Washington, DC, USA kobbi.nissim@georgetown.edu.
Summary
Technical and normative privacy concepts have diverged, creating challenges for privacy protection. Bridging these gaps is crucial for developing robust privacy technologies aligned with societal expectations.
Area of Science:
- Computer Science
- Sociology
- Information Science
Background:
- Past privacy technologies relied on intuitive understandings insufficient for modern expectations.
- Ubiquitous computation necessitates privacy protection aligned with social norms and normative expectations.
- The scientific study of privacy must also examine evolving social norms.
Purpose of the Study:
- To analyze the parallel evolution of technical and normative privacy concepts.
- To identify practical challenges arising from divergent privacy approaches.
- To propose methods for aligning technical and normative privacy standards.
Main Methods:
- Reviewing normative and technical definitions of privacy.
- Analyzing specific examples of definition gaps in statistical computation privacy.
- Identifying opportunities for integrating technical and normative standards in new privacy designs.
Main Results:
- Divergent technical and normative privacy conceptions pose practical challenges.
- Existing privacy technologies may not meet current societal expectations.
- Gaps exist between technical and normative privacy definitions, particularly in statistical computation.
Conclusions:
- A rigorous analysis mapping normative to technical privacy concepts is needed.
- New privacy approaches must reconcile technical capabilities with normative expectations.
- Aligning privacy technologies with both technical and social standards is essential for future protection.
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