6 papers
Security and Privacy in Agentic AI: Grand Challenges and Future Directions
Adam Jenkins, Agnieszka Kitkowska, Caterina Maidhof +22
We present key challenges and future research directions in the security and privacy of agentic AI, based on a horizon-scanning exercise that brought together thirty leading intern…
Dialogue based Interactive Explanations for Safety Decisions in Human Robot Collaboration
Yifan Xu, Xiao Zhan, Akilu Yunusa Kaltungo +4
As robots increasingly operate in shared, safety critical environments, acting safely is no longer sufficient robots must also make their safety decisions intelligible to human col…
The Governance of Intimacy: A Preliminary Policy Analysis of Romantic AI Platforms
Xiao Zhan, Yifan Xu, Rongjun Ma +3
Romantic AI platforms invite intimate emotional disclosure, yet their data governance practices remain underexamined. This preliminary study analyses the Privacy Policies and Terms…
Malicious LLM-Based Conversational AI Makes Users Reveal Personal Information
Xiao Zhan, Juan Carlos Carrillo, William Seymour +1
LLM-based Conversational AIs (CAIs), also known as GenAI chatbots, like ChatGPT, are increasingly used across various domains, but they pose privacy risks, as users may disclose pe…
Banal Deception Human-AI Ecosystems: A Study of People's Perceptions of LLM-generated Deceptive Behaviour
Xiao Zhan, Yifan Xu, Noura Abdi +3
Large language models (LLMs) can provide users with false, inaccurate, or misleading information, and we consider the output of this type of information as what Natale (2021) calls…
Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agents
Guangzhi Sun, Xiao Zhan, Jose Such
The incorporation of Large Language Models (LLMs) such as the GPT series into diverse sectors including healthcare, education, and finance marks a significant evolution in the fiel…