Conference & Journal Paper
"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe
Alexandra Klymenko, Stephen Meisenbacher, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes
Proceedings of the 21st Symposium on Usable Privacy and Security (SOUPS '25), Seattle, WA, 113–132, 2025
August 2025
Abstract
The proliferation of AI has sparked privacy concerns related to training data, model interfaces, downstream applications, and more. We interviewed 25 AI developers based in Europe to understand which privacy threats they believe pose the greatest risk to users, developers, and businesses and what protective strategies, if any, would help to mitigate them. We find that there is little consensus among AI developers on the relative ranking of privacy risks. These differences stem from salient reasoning patterns that often relate to human rather than purely technical factors. Furthermore, while AI developers are aware of proposed mitigation strategies for addressing these risks, they reported minimal real-world adoption. Our findings highlight both gaps and opportunities for empowering AI developers to better address privacy risks in AI.
- privacy
- developers
- framework
- ai
- generative ai
Cite this paper
@misc{klymenko2025we,
title = {"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe},
author = {Klymenko, Alexandra and Meisenbacher, Stephen and Kelley, Patrick Gage and Peddinti, Sai Teja and Thomas, Kurt and Matthes, Florian},
year = {2025},
eprint = {2510.00909},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2510.00909},
}