Challenges and efforts in managing AI trustworthiness risks: a state of knowledge.

This paper addresses the critical gaps in existing AI risk management frameworks, emphasizing the neglect of human factors and the absence of metrics for socially related or human threats. Drawing from insights provided by NIST AI RFM and ENISA, the research underscores the need for understanding the limitations of human-AI interaction and the development of ethical and social measurements. The paper explores various dimensions of trustworthiness, covering legislation, AI cyber threat intelligence, and characteristics of AI adversaries.

RESHEN, a best practice approach for secure healthcare networks in Europe.

Electronic communication of healthcare related information (in the framework of Regional Healthcare Information Networks), introduces a number of security risks with regard to confidentiality, integrity and availability, which can become quite crucial taking into account its sensitive nature. Public Key Infrastructure (PKI) is acknowledged as an appropriate means for dealing with such risks, as long as all the involved critical factors are first practically assessed. This paper presents a best-practice approach for secure regional healthcare networks in Europe, examining all the identified crucial parameters (technical, organisational, legal/regulatory, medical and business).