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@inproceedings{ayci2023explain,
  title={Explain to me: Towards understanding privacy decisions},
  author={Ayci, Gonul and {\"O}zg{\"u}r, Arzucan and Sensoy, Murat and Yolum, Pinar},
  booktitle={Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems},
  pages={2790--2791},
  year={2023},
  bib2html_rescat = {Privacy},
  abstract = {Privacy assistants help users manage their privacy online. Their
tasks could vary from detecting privacy violations to recommending
sharing actions for content that the user intends to share. Recent
work on these tasks are promising and show that privacy assistants
can successfully tackle them. However, for such privacy assistants
to be employed by users, it is important that these assistants can
explain their decisions to users. Accordingly, this work develops a
methodology to create explanations of privacy. The methodology
is based on identifying important topics in a domain of interest,
providing explanation schemes for decisions, and generating them
automatically.We apply our proposed methodology on a real-world
privacy data set, which contains images labeled as private or public
to explain the labels.}, 
bib2html_dl_pdf ="papers/explain-to-me-2023"
}