Companies like OpenAI, Google DeepMind, and Anthropic have the stated goal of building
artificial general intelligence (AGI)-AI systems that perform as well as or better than humans …

Abstract Trustworthy Artificial Intelligence (AI) is based on seven technical requirements
sustained over three main pillars that should be met throughout the system's entire life cycle …

This work proposes methodologies for ensuring the trustworthiness of high-risk artificial
intelligence (AI) systems (AIS) to achieve compliance with the European Union's (EU) AI Act …

Artificial Intelligence (AI), particularly through the advent of large-scale generative AI (GenAI)
models such as Large Language Models (LLMs), has become a transformative element in …

In the last few years, there have been growing concerns about the far-reaching influence
that digital architectures may exert on individuals and societies. A specific type of digital …

AI applications bear inherent risks in various risk dimensions, such as insufficient reliability,
robustness, fairness or data protection. It is well-known that trade-offs between these …

Impact assessment reports for high-risk artificial intelligence (AI) systems will be legally
required but challenging to complete, especially for smaller companies. That is because the …

The EU AI Act mandates that providers and deployers of high-risk AI systems establish a
quality management system (QMS). Among other criteria, a QMS shall help verify and …

large language models (LLMs) are widely used, the experts have raised significant concerns
about their controllability, safety, and usability. However, the vulnerability and evaluation …

As AI applications are emerging in diverse fields-eg, industry, healthcare or finance-
weaknesses and failures of such applications might bare unacceptable risks which need to …