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``Hoovered up as a data point'': Exploring Privacy Behaviours, Awareness, and Concerns Among UK Users of LLM-based Conversational Agents

Malki, Lisa Mekioussa; Polamarasetty, akhil; Hatamian, majid; Costanza, enrico; Warner, mark; (2025) ``Hoovered up as a data point'': Exploring Privacy Behaviours, Awareness, and Concerns Among UK Users of LLM-based Conversational Agents. In: Proceedings on Privacy Enhancing Technologies 2025(3). ACM (In press). Green open access

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Abstract

Large Language Models (LLMs) are widely used in conversational agents (CAs) due to their ability to generate coherent and humanlike text. However, their deployment raises significant privacy concerns, as users often share sensitive data in prompts. This data can be used to train the underlying LLM, introducing memorisation risks and challenging users’ right to be forgotten. While these issues have been explored from a technical standpoint, little is known about how users perceive and navigate privacy issues in their dayto-day use of LLM-based CAs. To address this research gap, we conducted a survey of UK-based CA users (

Type: Proceedings paper
Title: ``Hoovered up as a data point'': Exploring Privacy Behaviours, Awareness, and Concerns Among UK Users of LLM-based Conversational Agents
Event: Privacy Enhancing Technologies Symposium
Location: Washington DC
Dates: 14 Jul 2025 - 19 Jul 2025
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license visit https://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons.
Keywords: Large Language Models (LLMs), AI, conversational interfaces, chatbots, usable privacy, human-computer interaction
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10210557
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