Artificial intelligence is rapidly becoming part of everyday clinical practice. Across Europe, AI is now supporting radiologists in detecting lung nodules, identifying breast cancer, assessing stroke patients and prioritising imaging studies. These technologies promise earlier diagnosis, improved efficiency and reduced workload at a time when healthcare systems face increasing demand and workforce shortages. Yet despite remarkable advances in performance, one question continu

Before the creation of LLMs (Large Language Models) that converse in natural language, we humans have had little experience developing trust in complex relationships outside the confines of our own species. So far, we have only established trust with reasoning-subordinate species such as animals domesticated for agriculture and man’s best friend, the dog. Since these animals lack human-like reasoning skills and speech, the dimensions of and expectations associated with trust

Artificial intelligence (AI) is increasingly helping us solve some of society's greatest challenges. It is supporting doctors to diagnose disease, helping journalists verify information, improving transport and logistics, and enabling organisations to make faster, more informed decisions. Yet AI alone will not help us achieve the United Nations Sustainable Development Goals (SDGs).

Significant progress was demonstrated in the integration of multiple THEMIS tools into a single platform experience. With the next stage of integrated platform testing scheduled to begin in the coming weeks, our team spent considerable time reviewing workflows, user journeys, and how different components interact across the healthcare, ports, and media pilots.

The TRUST-AI 2025 workshop in Bologna, organised as part of the European Conference on Artificial Intelligence (ECAI) and supported by THEMIS 5.0 and its consortium partners, including SINTEF, University of Piraeus & ICCS, NTUA, University of Southampton, KU Leuven, Centre for IT & IP Law, ATC- Athens Technology Centre, Institute of Philosophy & Technology, and Engineering, offers one of the clearest windows into how researchers and practitioners across Europe are trying to

Europe is having a defining moment with artificial intelligence. Not because it is building the biggest models or attracting the most investment, but because it is trying to answer a harder question: can AI be trusted?

On 28 January 2026, the THEMIS 5.0 project contributed to the online webinar “From Command to Collaboration: Reimagining the Human–AI Relationship”, jointly organised with the EU-funded projects THEMIS 5.0, TANGO, AI4REALNET, HumAInE, PEER AI and COMFORTage. The event brought together more than 50 participants from research, policy, and practice communities across Europe.

Discover how THEMIS contributes to AI for Science in ERCIM News. Learn about trustworthy AI infrastructure for decision support in AI for Science.

Recent UK research on traditional media in the age of AI, by OnePoll for 72point, shows something striking: about 44% of UK adults say they trust artificial intelligence to deliver more truthful and factual information than they trust the government (38%), and social media influencers (24%). While traditional news outlets remain the most trusted at 55%.

Every day, artificial intelligence becomes more woven into our decisions, in hospitals, ports, newsrooms, and beyond. Yet despite the promises of transparency and accountability, one question remains stubbornly open: do we actually trust AI?

New policy brief AI, Your Way: Trusted, Scalable, and Ready to Deliver, which distills insights from the AI, Data and Robotics Forum (ADRF) 2025 workshop co-organized by five Horizon Europe projects: THEMIS 5.0, TANGO, AI4RealNet, PEER AI, and HumAIne.

A new paper published in Electronics 2025 offers a breakthrough solution: the Trustworthiness Optimisation Process (TOP). Developed by researchers from the National Technical University of Athens and the University of Piraeus, and supported by the THEMIS 5.0 project, this methodology bridges the gap between high-level guidelines and real-world AI practice.