[Your Name] Course/Institution: [Placeholder] Date: [Current Date] Abstract This paper examines the shifting boundaries of informational privacy in an era of pervasive data collection, machine learning, and surveillance capitalism. It traces the theoretical foundations of privacy—from Warren and Brandeis’s “right to be let alone” to Nissenbaum’s contextual integrity—and analyzes how modern technologies (IoT, facial recognition, behavioral ads) systematically undermine these frameworks. The paper then evaluates existing regulatory responses (GDPR, CCPA) and their enforcement gaps. Finally, it proposes a multidimensional path forward: privacy-by-design engineering, data minimization mandates, and algorithmic transparency. The central argument is that privacy is not merely an individual right but a collective infrastructural good. 1. Introduction Privacy is often declared dead, yet its death is greatly exaggerated—and more dangerous than ever to assume. From biometric surveillance in public spaces to data brokers compiling dossiers on billions, the 2020s have seen an unprecedented expansion of monitoring capacities. This paper argues that while privacy has transformed, it remains essential for autonomy, democratic participation, and psychological well-being.
The Erosion of Informational Privacy in the Algorithmic Society: Risks, Frameworks, and Future Directions rpriacy