Jul 2026· Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences· Vol 384· 0 citations· 23 references
TL;DR
This special issue seeks to address the interconnected challenges of safety, security and robustness in AI in a holistic manner, recognizing that dependable AI systems must be not only performant, but also trustworthy across a wide range of operational conditions.
Abstract
The rapid integrationof artificial intelligence (AI) into everyday life has brought transformative benefits, but it has also sharpened concerns surrounding safety, security and robustness, particularly in safety-critical domains. This special issue seeks to address these interconnected challenges in a holistic manner, recognizing that dependable AI systems must be not only performant, but also trustworthy across a wide range of operational conditions. The articles bring together contributions in the fields of computer science and mathematics, while also addressing concerns about ethics, accountability and regulation.
This article is part of the theme issue ‘Safe, secure and robust AI for safety-critical systems’.
This work presents a unified comparison of large language models, AI agents, and embodied agents, introducing a taxonomy of risks spanning data, models, systems, content, and applications, alongside a catalog of 24 specific threats.
This policy note highlights two primary gaps in the current AI landscape: an advancement gap—where technological capabilities evolve faster than institutional capacity to govern them—and a participation gap, where communities most affected by AI lack influence over its development.
I. Bittencourt, Seiji Isotani, Thomaz Veloso· 0 citations
It is asserted that trustworthiness is a systems property, not a single algorithmic feature, and that realising it requires coordinated advances in explainability, uncertainty quantification, human–AI interaction design, failure detection, and domain-specific data governance.
This paper investigates a secure-by-design engineering process focusing on the initial architectural design and examines the role that AI-powered agents can play in supporting it, as well as the conditions required for their effective and reliable use.
C. Ponsard, Jean-François Daune· International Conference on...· 0 citations
A structured taxonomy is proposed to organize various dimensions of AI-driven cybersecurity; review them critically; and finally, discuss key challenges, open problems, and emerging trends.
A formal framework for security in agentic AI is developed, built around an ideal predicate ϕ that decides, for a given ( prompt, context, result ) triple, whether the agent’s behaviour is acceptable.
F. Durak, Tadayoshi Kohno, Franziska Roesner· 0 citations
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