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).

The EU AI Act correctly insists on human oversight. Its intention is clear and necessary: ensure that humans can analyse, intervene, and improve AI-driven decisions. However, this creates a paradox. Placing a human 'in the loop' does not automatically guarantee real judgment, real veto power, and real cognitive engagement. In fact, poorly designed oversight requirements can make organisations more fragile, because they rely on a form of human presence that is nominal rathe

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?

Imagine checking your AI’s trust score before using it, much like checking a credit score before a loan. What if every AI system carried a dynamic trust index based on performance, fairness, user feedback, and regulatory compliance?

Discover how AI has seamlessly integrated into our daily routines, from optimizing navigation routes to enhancing home assistants. Read more