Nina Hubig
Research group:
Dr. Hubig’s research group at IT:U emphasizes creating AI models that are not only innovative but also interpretable and ethically sound. By integrating deep learning, natural language processing, and network science, her team aims to transform AI from a “black-box” technology into a tool that is transparent and actionable in real-world healthcare applications.
Contributions to Mental Health and AI
In her recent inaugural lecture, Dr. Hubig highlighted the critical role of explainable AI in mental health care. She explored how AI can improve decision-making in healthcare, mental health, and patient communication—but only if people can trust its reasoning. Her research delves into.
- AI in Medicine: Developing AI systems that predict intervention success based on patient data, ensuring that both doctors and patients can understand and trust the AI’s recommendations.(it-u.at)
- Mental Health & AI: Investigating how AI assesses mental health through speech and facial analysis, and exploring ways to integrate empathy into AI to improve trust and patient adherence to treatment.(it-u.at)
- AI-Assisted Patient Communication & Consent: Enhancing AI’s ability to explain medical procedures in telehealth settings, balancing legal accuracy with empathetic dialogue to improve patient communication.(it-u.at)
- Neuroscience and Explainable AI (NeuroXAI): Collaborating on research that enhances AI’s understanding of brain function, particularly in neurodevelopment and autism spectrum disorders. (it-u.at)
Short bio:
Dr. Nina Christine Hubig, Assistant Professor of Explainable Artificial Intelligence at IT – Interdisciplinary Transformation University Austria, leads pioneering research at the intersection of AI, mental health, and ethical design. Her work focuses on developing transparent, trustworthy AI systems that enhance healthcare decision-making, particularly in mental health contexts.
Academic and Professional Background
Dr. Hubig earned her Ph.D. from the Technical University of Munich, focusing on AI transparency in critical applications like medical data processing and social network analysis. Before joining IT:U, she spent five years at Clemson University’s School of Computing and Biomedical Data Science Program, where she integrated deep learning models into practical systems such as real-time flood detection and biomedical applications. At IT:U, Dr. Hubig continues to drive innovation, mentoring projects that bridge AI with medical text processing and natural language understanding, thereby shaping the future of transparent and ethical AI technologies.
“Shaping the future with disruptive technology and awakened minds”
Nina Hubig
