Prof Jose Such is Professor in the Department of Informatics at King’s College London and Director of the KCL Cybersecurity Centre. His research interests are at the intersection of artificial intelligence, human-computer interaction and cybersecurity, with a strong focus on human-centred AI security, ethics, and privacy. He has been Principal Investigator for projects funded by UKRI, EPSRC, ICO, NCSC, and Google.
Dr William Seymour is a lecturer in cybersecurity conducting research on privacy, security, and ethics for user-facing AI systems. He was previously on the EPSRC-funded Secure AI Assistants project exploring ways of explaining the privacy and security behaviours of AI assistants. Before this he was part of a project with the ICO on the future of data protection in smart homes. He recieved his DPhil in Cybersecurity from the University of Oxford.
Dr Gonzalo Gabriel Méndez works at the intersection of Human-Computer Interaction (HCI) and Information Visualization. He holds a Ph.D. in Computer Science from the University of St Andrews, Scotland, where he focused on constructive tools for authoring data visualizations. He later completed a postdoctoral fellowship at the University of Calgary, Canada. Gonzalo's current research explores the human aspects of AI-based technologies, aiming to leverage visual representations to create interfaces that help users control their privacy in the age of AI.
Caterina is interested in how humans make privacy and security trade-offs when interacting with potentially sensitive and safety-critical data and technology. She has a background in communication and psychology. In her PhD studies at the RWTH Aachen University, Germany, she investigated privacy perceptions and technology acceptance among different users of video-based assistive technologies.
Dr Xiao Zhan is a postdoctoral researcher working on the EPSRC-funded Secure AI Assistants (SAIS) project, where she specializes in addressing safety and privacy concerns in LLM-based conversational AIs. She obtained her PhD by examining the dynamics of privacy norms and trust in the context of AI assistants.
Ina Kaleva is a research assistant at King's College London working on the Secure AI Assistants (SAIS) project, where she explores users' views on and experiences with generative AI tools when seeking sexual and reproductive health-related information or advice. She holds an MSc degree in Mental Health Studies at King's College London and has a background in digital mental health.
Hana is interested in the intersection of artificial intelligence and sociology. Her PhD is focused on the interaction between AI systems and users. In particular, she is interested in exploring how different communities interact with AI systems and how could this inform the design of more understandable AI explanations.
As a PhD candidate at Universidad Politécnica de Valencia, Juan Carlos specializes in the trustworthiness and privacy of Large Language Models (LLMs). His academic career includes a significant project during his master's degree in cybersecurity and cyberintelligence, where he developed a system to analyze echo chambers among Spanish congress members on Twitter. His current research is dedicated to advancing the security and privacy features of LLMs.
Vahid is a Ph.D. student in Telematics at IMDEA Networks Institute (+UC3M). His main area of research involves the application of NLP on social network data for measuring online polarization and radicalization.
Chenkai Ma is a PhD student in the Department of Informatics at King's College London (KCL). He obtained his MSc in Advanced Computing also from KCL. He worked as a software engineer at Huawei before starting his PhD. His research focuses on the intersection of security, privacy, safety, human-computer interaction (HCI), and mobile apps.
Shijing He is a Ph.D. student in Computer Science at King’s College London (KCL), affiliated with the Cybersecurity Group in the Department of Informatics. He is working at the intersection of Usable security and privacy, HCI, Technical and Non-technical privacy interventions, and User experience design.