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Patterns for semi-automated trustworthiness risk assessment of AI systems in cyber-physical environments

Patterns for semi-automated trustworthiness risk assessment of AI systems in cyber-physical environments
Patterns for semi-automated trustworthiness risk assessment of AI systems in cyber-physical environments
With the use of AI systems growing, particularly in areas that can significantly effect people, trustworthy AI is needed. For this, transparent and accountable trustworthiness risk assessment of AI systems is required. The work here details an initial approach to trustworthiness risk assessment of AI systems that builds on a semi-automated risk assessment tool called Spyderisk and uses information from frameworks and other sources to guide it
Semi-Automated Risk Assessment, Cybersecurity, AI, Knowledge Modelling
1613-0073
160-168
CEUR Workshop Proceedings
Senior, Samuel
d35c4a4d-0dc1-4d84-aed6-358e235e5a3f
Taylor, Steve
9ee68548-2096-4d91-a122-bbde65f91efb
Følstad, Asbjørn
Apostolou, Dimitris
Taylor, Steve
Palumbo, Andrea
Tsalapati, Eleni
Stamatellos, Giannis
Catelli, Rosario
Senior, Samuel
d35c4a4d-0dc1-4d84-aed6-358e235e5a3f
Taylor, Steve
9ee68548-2096-4d91-a122-bbde65f91efb
Følstad, Asbjørn
Apostolou, Dimitris
Taylor, Steve
Palumbo, Andrea
Tsalapati, Eleni
Stamatellos, Giannis
Catelli, Rosario

Senior, Samuel and Taylor, Steve (2025) Patterns for semi-automated trustworthiness risk assessment of AI systems in cyber-physical environments. Følstad, Asbjørn, Apostolou, Dimitris, Taylor, Steve, Palumbo, Andrea, Tsalapati, Eleni, Stamatellos, Giannis and Catelli, Rosario (eds.) In Proceedings of TRUST-AI 2025 - The European Workshop on Trustworthy AI co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025). vol. 4132, CEUR Workshop Proceedings. pp. 160-168 .

Record type: Conference or Workshop Item (Paper)

Abstract

With the use of AI systems growing, particularly in areas that can significantly effect people, trustworthy AI is needed. For this, transparent and accountable trustworthiness risk assessment of AI systems is required. The work here details an initial approach to trustworthiness risk assessment of AI systems that builds on a semi-automated risk assessment tool called Spyderisk and uses information from frameworks and other sources to guide it

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Published date: 16 December 2025
Venue - Dates: TRUST-AI 2025 - The European Workshop on Trustworthy AI<br/>co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), , Bologna, Italy, 2025-10-25 - 2025-10-26
Keywords: Semi-Automated Risk Assessment, Cybersecurity, AI, Knowledge Modelling

Identifiers

Local EPrints ID: 508666
URI: http://eprints.soton.ac.uk/id/eprint/508666
ISSN: 1613-0073
PURE UUID: 413cc406-0343-4a62-8769-3c9b98341413
ORCID for Samuel Senior: ORCID iD orcid.org/0000-0002-3428-9215
ORCID for Steve Taylor: ORCID iD orcid.org/0000-0002-9937-1762

Catalogue record

Date deposited: 29 Jan 2026 17:35
Last modified: 31 Jan 2026 06:46

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Contributors

Author: Samuel Senior ORCID iD
Author: Steve Taylor ORCID iD
Editor: Asbjørn Følstad
Editor: Dimitris Apostolou
Editor: Steve Taylor
Editor: Andrea Palumbo
Editor: Eleni Tsalapati
Editor: Giannis Stamatellos
Editor: Rosario Catelli

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