This paper addresses the challenge of enforcing ethical behaviors at runtime in autonomous systems through a structured ethics assurance process. At the core of this process is a subsystem that rigorously operationalizes ethical rules, specifically social, legal, ethical, empathetic, and cultural (SLEEC) requirements. This subsystem enables the dynamic evaluation, adaptation, and enforcement of ethically compliant behavior within a formally defined runtime model. The proposed approach, named [email protected], is demonstrated through a running example involving firefighter-uncrewed aerial vehicles. In addition, by leveraging its flexible runtime model, [email protected] accommodates changes such as the addition or removal of SLEEC rules, ensuring a robust and evolvable approach to ethical assurance in autonomous systems.

(2026). A Process to Enforce Ethical Requirements of Autonomous Systems at Runtime . Retrieved from https://hdl.handle.net/10446/327788

A Process to Enforce Ethical Requirements of Autonomous Systems at Runtime

Scandurra, Patrizia
2026-01-01

Abstract

This paper addresses the challenge of enforcing ethical behaviors at runtime in autonomous systems through a structured ethics assurance process. At the core of this process is a subsystem that rigorously operationalizes ethical rules, specifically social, legal, ethical, empathetic, and cultural (SLEEC) requirements. This subsystem enables the dynamic evaluation, adaptation, and enforcement of ethically compliant behavior within a formally defined runtime model. The proposed approach, named [email protected], is demonstrated through a running example involving firefighter-uncrewed aerial vehicles. In addition, by leveraging its flexible runtime model, [email protected] accommodates changes such as the addition or removal of SLEEC rules, ensuring a robust and evolvable approach to ethical assurance in autonomous systems.
2026
De Sanctis, M.; Filippone, G.; Inverardi, P.; Mirandola, R.; Pettinari, S.; Scandurra, Patrizia
File allegato/i alla scheda:
File Dimensione del file Formato  
SEAMS2026.pdf

accesso aperto

Versione: publisher's version - versione editoriale
Licenza: Creative commons
Dimensione del file 631.56 kB
Formato Adobe PDF
631.56 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/327788
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact