Publications
Charting Trustworthiness: A Socio-Technical Perspective on AI and Human Factors
From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment
Towards Trustworthy AI in STEM Education: Challenges and Strategies from the Trust-AI Platform
trustSense: Measuring Human Oversight Maturity for Trustworthy AI
Shedding light on uncertainties in machine learning: formal derivation and optimal model selection
Understanding evacuation behavior for effective disaster preparedness: a hybrid machine learning approach
A synthetic data-driven generation approach to enhance the fairness and privacy of AI-based systems in the domain of rare diseases
Adversarial Robustness Evaluation of Deep Learning Segmentation Models and Loss Functions in Prostate MRI
AI_TAF: A Human-Centric Trustworthiness Risk Assessment Framework for AI Systems
Explanations for Trustworthy AI in Critical Infrastructure: A Case from Wastewater Treatment in Norway