
This document is a graphical introduction and summary of the Catalogue of Security Risks for AI Applications in Space (SAI Catalogue) created as a part of the "PINEBERRY: Explainable, Robust and Secure AI for Demystifying Space Operations" activity funded by the European Space Agency. The full SAI catalogue is accessible for registered users from ESA Member States on the Space CODEV platform. The graphical introduction is a user-friendly educational material for anyone working with AI applications in the space domain, but also any other domains where security is a critical issue, e.g., aviation, autonomous driving, defence, energy, medicine, fintech, etc. It contains descriptions of 9 common AI security risks together with their possible mitigations and mapping to existing standards issued by NIST, OWASP, and Snowflake. More information about the project can be found at its website: https://assurance-ai.space-codev.org/
Artificial intelligence, Artificial Intelligence, Computer security, Space research, Space Research, Computer Security
Artificial intelligence, Artificial Intelligence, Computer security, Space research, Space Research, Computer Security
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
