Artificial intelligence is increasingly being trusted to support decisions that matter: assessing health risks, managing infrastructure, informing public services, supporting journalism, and helping organisations decide what to do next. But a series of recent AI safety incidents raises an important question. What happens to trust when an AI system does something outside the boundaries we expected it to respect? Recent cybersecurity evaluations involving advanced AI agents hav

Explore why trusting AI in Industry is crucial for innovation and success. Learn how AI in Industry impacts sectors like healthcare, finance

THEMIS 5.0 is shaping the future of AI risk management and trust. Antonis Ramfos spoke at EBDVF 24 about integrating trust in AI.

Brief comparative analysis of ENISA and NIST AI Risk Management Frameworks. Uncover their differences, similarities, and real-world applicab