This paper focuses on the opportunities and the ethical and societal risks posed by
advanced AI assistants. We define advanced AI assistants as artificial agents with natural …

In this paper we argue that safety claims, when justified by a safety case, are descriptive
fallible knowledge claims. Even if the aim of a safety case was to justify infallible knowledge …

Purpose This paper does not concern with the “why” of ethics. Such questions are typically
of interest to philosophers and are outside the scope of this work. In the next section, the …

Autonomy does not subvert existing safety processes, but they must be supplemented with
methods that address autonomy's challenges, especially where perception and decision …

We challenge the dominant technology-centric narrative around clinical AI. To realise the
true potential of the technology, clinicians must be empowered to take a whole-system …

Fairness is one of the most commonly identified ethical principles in existing AI guidelines,
and the development of fair AI-enabled systems is required by new and emerging AI …

Justifying the correct implementation of the non-functional requirements (eg, safety, security)
of mission-critical systems is crucial to prevent system failure. The later could have severe …

Artificial intelligence (AI) has rapidly advanced, increasingly showcasing its powerful
learning and computational capabilities. This progress has resulted in significant …

Research under real-world conditions is crucial to the development and deployment of
robust AI systems. Exposing large language models to complex use settings yields …

Ibrahim Habli and John McDermid look at how the emergence of Artificial Intel-ligence (AI) is
adding pressure on the safety community to rethink the bounda-ries of safety engineering …