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Isobel Standen

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

2 papers
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2

FM Conference 2026 Conference Paper

The SLEEC Framework for Normative Requirements Engineering

  • Pedro Ribeiro
  • Radu Calinescu
  • Ana Cavalcanti
  • Marsha Chechik
  • Sinem Getir Yaman
  • Lina Marsso
  • Isobel Standen
  • Beverley Townsend

Abstract Autonomous agents are increasingly deployed in sensitive, human-centric domains—such as healthcare, assistive care, and emergency response—where their decision-making must align with complex human norms. These translate into Social, Legal, Ethical, Empathetic, and Cultural (SLEEC) requirements that are often nuanced and context-dependent, challenging traditional software engineering paradigms. Our tutorial paper presents a comprehensive, tool-supported methodology for managing the SLEEC requirements lifecycle, covering elicitation, well-formedness validation, and conformance verification of software design models against SLEEC requirements. We demonstrate the use of our methodology and associated tools through application to a robot-assisted dressing system, providing a guide for researchers and engineers to bridge the gap between abstract human norms and verifiable system designs.

DOI

TAAS Journal 2025 Journal Article

INSYTE: A Classification Framework for Traditional to Agentic AI Systems

  • Zoe Porter
  • Radu Calinescu
  • Ernest Lim
  • Victoria Hodge
  • Philippa Ryan
  • Simon Burton
  • Ibrahim Habli
  • Tom Lawton

Existing classification frameworks for AI and autonomous systems are being outpaced by recent advancements in AI technologies. This limits their applicability to modern intelligent systems, particularly agentic AI systems (autonomous systems that leverage foundation models to achieve wide-ranging, multi-layered goals). To address this deficiency, we introduce INSYTE, a multi-faceted framework that supports the classification of AI systems ranging from traditional rule-based systems to cutting-edge embodied AI and agentic systems. To that end, INSYTE considers the essential characteristics of an AI system across eight key dimensions grouped into four categories: system design ( underspecification and adaptiveness ); functionality ( breadth and depth ); operating environment ( diversity and dynamism ); and independence from human operational control ( intervention and oversight ). Different AI systems (or versions of systems) yield different ‘patterns’ on an eight-axis radar chart that INSYTE uses to provide an immediate visual summary of an AI system’s overall capability and a detailed representation of its individual characteristics. The INSYTE framework aligns with OECD’s definition of deployed AI systems, which is becoming the standard definition used by legislators and developers worldwide.

Details DOI
v2026.09.13