Multiverse Privacy Theory for Contextual Risks in Complex User-AI Interactions
Cryptography and Security
2025-06-13 v1 Human-Computer Interaction
Abstract
In an era of increasing interaction with artificial intelligence (AI), users face evolving privacy decisions shaped by complex, uncertain factors. This paper introduces Multiverse Privacy Theory, a novel framework in which each privacy decision spawns a parallel universe, representing a distinct potential outcome based on user choices over time. By simulating these universes, this theory provides a foundation for understanding privacy through the lens of contextual integrity, evolving preferences, and probabilistic decision-making. Future work will explore its application using real-world, scenario-based survey data.
Cite
@article{arxiv.2506.10042,
title = {Multiverse Privacy Theory for Contextual Risks in Complex User-AI Interactions},
author = {Ece Gumusel},
journal= {arXiv preprint arXiv:2506.10042},
year = {2025}
}
Comments
5 pages, 1 figure, 1 table