PACCART: Reinforcing Trust in Multiuser Privacy Agreement Systems
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Publication date
2023
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taverne
Abstract
Content in collaborative systems, such as Online Social Networks, is often co-owned by multiple users with different privacy expectations, leading to possible multiuser privacy conflicts. In order to address these conflicts, we argue that users should be supported by trustworthy agents that adhere to the following criteria: (i) concealment of privacy preferences, such that only necessary information is shared with others; (ii) equity of treatment, such that different kinds of users are supported equally; (iii) collaboration of users, such that a group of users can support each other in agreement and (iv) explainability of actions, such that users know why certain information about them was shared to reach a decision.
Keywords
Equity, Multiuser Privacy, Trust, Taverne, Software, Artificial Intelligence, Control and Systems Engineering
Citation
Di Scala, D & Yolum, P 2023, PACCART: Reinforcing Trust in Multiuser Privacy Agreement Systems. in Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems. vol. 2023-May, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), Richland, SC, pp. 2787–2789.