5 papers
SafeLLM: Extraction as a Hallucination-Resistant Alternative to Rewriting in Safety-Critical Settings
Julia Ive, Felix Jozsa, Evridiki Georgaki +6
Large language models (LLMs) are increasingly used to access organisational documentation, including standard operating procedures (SOPs), HR policies and institutional guidelines.…
Privacy-Preserving Behaviour of Chatbot Users: Steering Through Trust Dynamics
Julia Ive, Vishal Yadav, Mariia Ignashina +2
Introduction: The use of chatbots is becoming increasingly important across various aspects of daily life. However, the privacy concerns associated with these communications have n…
Clean & Clear: Feasibility of Safe LLM Clinical Guidance
Julia Ive, Felix Jozsa, Nick Jackson +3
Background: Clinical guidelines are central to safe evidence-based medicine in modern healthcare, providing diagnostic criteria, treatment options and monitoring advice for a wide…
LLM Assistance for Pediatric Depression
Mariia Ignashina, Paulina Bondaronek, Dan Santel +2
Traditional depression screening methods, such as the PHQ-9, are particularly challenging for children in pediatric primary care due to practical limitations. AI has the potential…
A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection
Julia Ive, Paulina Bondaronek, Vishal Yadav +10
Introduction: Healthcare AI models often inherit biases from their training data. While efforts have primarily targeted bias in structured data, mental health heavily depends on un…