The development of processes and tools for ethical, trustworthy, and legal AI is only
beginning. At the same time, legal requirements are emerging in various jurisdictions …

As artificial intelligence (AI) systems become increasingly deployed across the world, they
are also increasingly implicated in AI incidents-harm events to individuals and society. As a …

In contrast to vast academic efforts to study AI security, few real-world reports of AI security
incidents exist. Released incidents prevent a thorough investigation of the attackers' …

The EU's proposed AI Act sets out a risk-based regulatory framework to govern the potential
harms emanating from use of AI systems. Within the AI Act's hierarchy of risks, the AI systems …

As AI systems become integral to critical operations across industries and services, ensuring
their reliability and safety is essential. We offer a framework that integrates established …

The rapid and wide-scale adoption of AI to generate human speech poses a range of
significant ethical and safety risks to society that need to be addressed. For example, a …

Engineering trustworthy artificial intelligence (AI) is important to adoption and appropriate
use, but there are challenges to implementing trustworthy AI systems. It is difficult to translate …

Abstract Auditing complex Artificial Intelligence (AI) systems is gaining importance in light of
new regulations and is particularly challenging in terms of system complexity, knowledge …

The paper is intended as a guideline for the research regarding past, recent, and future AI
threats and vulnerabilities. We start by exploring today's context, implementation, and …

This paper introduces a new IncidentAI dataset for safety prevention. Different from prior
corpora that usually contain a single task, our dataset comprises three tasks: named entity …