Coding Justice: Architectural Shift from Ex-Post Punishment to Ex-Ante Design in Privacy-Preserving AI

Linyu Zhang

Keywords: Artificial intelligence governance, privacy protection, privacy by design, privacy-preserving

Paper Type: Short papers / work-in-progress

TL;DR: How Privacy-Preserving Technologies Reshape Legal Relationships?

Abstract: The development of Artificial Intelligence relies on large-scale data, which creates significant privacy and compliance challenges. This article examines how privacy-preserving technologies like federated learning and differential privacy reshape legal relationships and responsibility allocation through their technical architectures. We argue that these technologies do more than protect privacy; they enable a legal paradigm shift from ex post punishment to ex ante design. This shift clearly redefines the responsibilities of data controllers and processors, laying the groundwork for a new, technology-enabled legal governance framework.

Submission Number: 18