FAITH project https://validator.w3.org/feed/docs/rss2.html Home An AI-Powered Learning Companion for Adaptive and Personalized STEM Education End-to-End Encryption: Technological and Human Factor Perspectives Trustworthy AI in education: A Roadmap for Ethical and Effective Implementation Understanding evacuation behavior for effective disaster preparedness: a hybrid machine learning approach Trustworthy AI-Driven Autonomous Underwater Vehicles for Port Infrastructure Inspection: Paradigm Conceptualization FAITH Project Showcased at “AI & Books: Writing the Lesson of the Future” Event FAITH Project Presented at the 11th eTwinning Greece Conference From trustworthy AI to real clinical impact FAITH Project Featured at the European Researchers’ Night 2025 Towards Trustworthy AI in STEM Education: Challenges and Strategies from the Trust-AI Platform Charting Trustworthiness: A Socio-Technical Perspective on AI and Human Factors Machine learning in wastewater treatment: insights from modelling a pilot denitrification reactor Synthetic data generation methods in healthcare: A review on open-source tools and methods From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment Shedding light on uncertainties in machine learning: formal derivation and optimal model selection The Human Factor Impact on a Supply Chain Tracking Service Through a Risk Assessment Methodology 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 A risk and conformity assessment framework to ensure security and resilience of healthcare systems and medical supply chain Optimizing AI System Security: An Ecosystem Recommendation to Socio-Technical Risk Management Leveraging the European Cybersecurity Skills Framework(ECSF) in EU Innovation Projects: Workforce Development Through Skilling, Upskilling, and Reskilling A Self-Organized Swarm Intelligence Solution for Healthcare ICT Security Understanding evacuation behavior for effective disaster preparedness: a hybrid machine learning approach Adversarial Robustness Evaluation of Deep Learning Segmentation Models and Loss Functions in Prostate MRI Human Factors and Cybersecurity in NHS Virtual Wards Partner Presentation: ACTIVAGE Partner Presentation: BRIDG Ageing with Confidence- FAITH’s Active Ageing pilot Under LSP1 – Media component The FAITH Project’s Large Scale Pilot Progress summary Winter 2025 FAITH: Bridging Artificial Intelligence for Underwater Drones at the Ports of the Future Pilar Sala Our 2nd newsletter has been published! Empowering Educators and Learners for the Age of AI Kitty Kioskli Innovation Train Journey & Rolling Conference: Firenze – Dresden Robert Olteanu Eleni Tsalapati Advancing Sustainability and Safety in Maritime Environments: Insights from the Port of Ravenna Authority Conference Advancing Trustworthy AI: Insights from the “Future Ready – On Demand Solutions with AI, Data and Robotics” Event in Brussels Building Trustworthy AI for the Future of Rail and Mobility: Insights from the 2nd Acceleration Event in Pisa Building Trust in AI: The FAITH Framework trustSense: Measuring Human Oversight Maturity for Trustworthy AI This Time, Humans Learn About Machines: AI Literacy in the AI Act FAITH at EUSOMII 2025: Advancing Trustworthy AI in Medical Imaging Challenges and efforts in managing AI trustworthiness risks: a state of knowledge A synthetic data-driven generation approach to enhance the fairness and privacy of AI-based systems in the domain of rare diseases Prof. D. Fotiadis presents FAITH and CardioCare projects at the 19th International Symposium on Biomedical and Health Engineering