AISEC: AI Secure and Explainable by Construction

Aspinall, David (Principal Investigator)
Schafer, Burkhard (Co-investigator)

Status	Finished
Effective start/end date	1/09/20 → 31/08/23

Funding

EPSRC: £382,190.00
EPSRC: £456,154.00

3 Article
2 Conference contribution
1 Chapter

Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements
Bogani, R., Theodorou, A., Arnaboldi, L. & Wortham, R. H., 1 Nov 2023, In: AI and Ethics. 3, 4, p. 1135-1142 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
An argumentation and ontology based legal support system for AI vehicle design
Lu, Y., Yu, Z., Lin, Y., Schafer, B., Ireland, A. & Urquhart, L., 1 Dec 2022, Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14–16 December 2022. Francesconi, E., Borges, G. & Sorge, C. (eds.). Amsterdam: IOS Press, p. 213-218 6 p. (Frontiers in Artificial Intelligence and Applications; vol. 362).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
Towards Interdependent Safety Security Assessments Using Bowties
Arnaboldi, L. & Aspinall, D., 9 Jun 2022, Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops - DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE, Proceedings. Trapp, M., Schoitsch, E., Guiochet, J. & Bitsch, F. (eds.). Springer, p. 211-229 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13415 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File