activity
20222026
most citedDeceptive AI Ecosystems: The Case of ChatGPT

43 citations · 129 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CR2026

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…

cs.RO2026

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…

cs.CY2026

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…

cs.CY2025

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…

cs.HC2024

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…

cs.CY2024★ 4 cited

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…

cs.HC2024★ 38 cited

Healthcare Voice AI Assistants: Factors Influencing Trust and Intention to Use

Xiao Zhan, Noura Abdi, William Seymour +1

AI assistants such as Alexa, Google Assistant, and Siri, are making their way into the healthcare sector, offering a convenient way for users to access different healthcare service…

cs.CY2023★ 43 cited

Deceptive AI Ecosystems: The Case of ChatGPT

Xiao Zhan, Yifan Xu, Stefan Sarkadi

ChatGPT, an AI chatbot, has gained popularity for its capability in generating human-like responses. However, this feature carries several risks, most notably due to its deceptive…

cs.HC2023★ 12 cited

Who are CUIs Really For? Representation and Accessibility in the Conversational User Interface Literature

William Seymour, Xiao Zhan, Mark Cote +1

The theme for CUI 2023 is 'designing for inclusive conversation', but who are CUIs really designed for? The field has its roots in computer science, which has a long acknowledged d…

cs.HC2022★ 32 cited

A Systematic Review of Ethical Concerns with Voice Assistants

William Seymour, Xiao Zhan, Mark Cote +1

Since Siri's release in 2011 there have been a growing number of AI-driven domestic voice assistants that are increasingly being integrated into devices such as smartphones and TVs…