In this short consensus paper, we outline risks from upcoming, advanced AI systems. We
examine large-scale social harms and malicious uses, as well as an irreversible loss of …

Purpose This study is a systematic literature review of the application of artificial intelligence
(AI) in safety-critical systems. The authors aim to present the current application status …

Artificial intelligence (AI) is progressing rapidly, and companies are shifting their focus to
developing generalist AI systems that can autonomously act and pursue goals. Increases in …

This is the interim publication of the first International Scientific Report on the Safety of
Advanced AI. The report synthesises the scientific understanding of general-purpose AI--AI …

In Europe, over recent years, the responsibility for ensuring system safety has shifted onto
the developers and operators to construct and present well reasoned arguments that their …

Innovations in data science and artificial intelligence/machine learning (AI/ML) have a
central role to play in supporting global efforts to combat COVID-19. The versatility of AI/ML …

Safety-critical systems, by definition those systems whose failure can cause catastrophic
results for people, the environment, and the economy, are becoming increasingly complex …

Compliance with the automotive standard ISO 26262 requires the development of a safety
case for electrical and/or electronic (E/E) systems whose malfunction has the potential to …

In the automotive domain, there is currently no formal requirement to produce an explicit
safety case. Instead the implicit safety case for a vehicle is comprised of compliance with …

Context. In many application domains, critical systems must comply with safety standards.
This involves gathering safety evidence in the form of artefacts such as safety analyses …