****************************************************
Workshop on AI for Privacy (AI4P)
to be held with ECAI 2020 -- http://ecai2020.eu

Website: https://sites.google.com/view/ai4p2020/
Date: June 09, 2020
Location: Santiago de Compostela, Spain
Submission Deadline: March 06, 2020
****************************************************

------------------------------
DESCRIPTION
------------------------------
Managing privacy online continues to be a challenging task. On one
hand, regulations such as General Data Protection Regulation (GDPR) are
coming into effect with the aim of providing transparency and privacy
guarantees to users. On the other hand, privacy violations are occurring more than ever. Increasingly, users need intelligent tools that can help them understand,
analyze, and manage privacy online. Artificial Intelligence (AI) techniques can be used to develop new algorithms or methods to address this.

Preserving privacy of users becomes especially difficult in
social software, where users interact extensively, such as collaborative
systems, massively online multiplayer games, or Internet of Things (IoT) applications.
Traditional software, such as banking or e-commerce systems, allow users to make transactions on their own account and thus ensure isolation of transactions; i.e., one user's actions do
not have affect on a second user. However, the main idea of social
software is that users' transactions are interleaved in a way that
facilitates social interaction. For example, in online social
networks, users are allowed to create and share content about
themselves and others. The content may affect others in ways that
might not be foreseen by others up front; i.e., a piece of content may
easily reach unintended individuals and further inference can reveal
more information about the user. Hence, preserving privacy in social
software requires methods that are beyond those used for traditional
software. This brings about interesting research questions such as: How to learn the privacy preferences of users? How to
ensure that each individual's privacy is respected? How to develop software to help users to manage their privacy better? How to explain the
privacy decisions of the software to users?

This workshop is interested in bringing together AI and privacy
researchers to tackle privacy problems with AI approaches. Topics of interest include, but are not limited to:

* AI approaches for detecting/preventing privacy violations
* Analysis of privacy policies using AI techniques
* Collective intelligence and decision-making for privacy
* Crowd-sourcing for managing privacy
* Commonsense reasoning for privacy
* Trust in the context of privacy
* Privacy in IoT systems
* Privacy applications
* Privacy engineering
* Privacy by design
* Privacy testing and evaluation methods
* Validation and verification of privacy requirements
* Efforts for collection of privacy benchmark data
* Learning users' privacy expectations, habits, and behaviours
* User studies for understanding privacy
* Human aspects (ethical, psychological, sociological) of usable security and privacy
* AI for explaining privacy decisions
* Privacy-aware AI

------------------------------
IMPORTANT DATES
------------------------------
* Paper Submission Deadline: March 06, 2020
* Paper Acceptance Notification: April 08, 2020
* Camera-ready copies due: April 17, 2020
* Workshop Date: June 09, 2020

------------------------------
ORGANISING COMMITTEE
------------------------------
* Nadin Kökciyan (University of Edinburgh, UK)
* PInar Yolum (Utrecht University, Netherlands)
* Özgür Kafalı (Kent University, UK)
* Natalia Criado Pacheco (King's College London, UK)
* Jose M. Such (King's College London, UK)

------------------------------
SUBMISSION and REVIEW DETAILS
------------------------------
Papers will be peer-reviewed by at least three reviewers from the Program Committee. Criteria for the selection of papers will include: high quality, clear presentation, novelty of research, relevance to the topics and taking an AI-based approach, coverage of relevant state of the art and the relevance to privacy problems.

The papers must conform to the LNCS format, and the paper must not exceed 15 pages including references.

Papers will be submitted in PDF format via EasyChair, available at: https://easychair.org/conferences/?conf=ai4p

----------------------------------
PUBLICATION DETAILS
----------------------------------
We are planning to have post-proceedings of the workshop.

------------------------------
CONTACT
------------------------------
AI4P Organising Committee (ai4p@easychair.org)