Trustworthiness in multi-agent UAV systems: a scoping review

Simple item page
dc.contributor.authorLe, Maien
dc.contributor.authorMinghim, Rosaneen
dc.contributor.authorO’Sullivan, Barryen
dc.contributor.authorNguyen, Hoang D.en
dc.contributor.funderResearch Irelanden
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2025-04-22T08:43:51Z
dc.date.available2025-04-22T08:43:51Z
dc.date.issued2024en
dc.description.abstractThe integration of artificial intelligence (AI) into multi-unmanned aerial vehicle-assisted communication plays a pivotal role in sixth-generation wireless communication and beyond. Most AI techniques have primarily focused on AI-based applications and technical problems, rather than examining the accountability and trustworthiness of AI models, a crucial evaluation criteria for AI human beings. This work aims to provide a scoping review of the trustworthiness of AI in multi-agent UAV systems. Firstly, we present the background of multi-agent systems and methods to evaluate, enhance the trustworthiness of AI systems. Secondly, we review innovative techniques that address trustworthy requirements in terms of safety, robustness, privacy, accountability, explainability, and fairness, along with challenges in multi- agent UAV communications. Finally, we highlight several promising solutions and future research directions.en
dc.description.sponsorshipResearch Ireland (12/RC/2289-P2)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationLe, M., Minghim, R., O’Sullivan, B. and Nguyen, H. D. (2024) 'Trustworthiness in multi-agent UAV systems: a scoping review', Reliable and Trustworthy Artificial Intelligence Workshop at the 16th Asian Conference on Machine Learning (ACML 2024), Hanoi, Vietnam, 5-8 December 2024.en
dc.identifier.endpage11en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/17290
dc.language.isoenen
dc.relation.ispartofReliable and Trustworthy Artificial Intelligence Workshop at the 16th Asian Conference on Machine Learning (ACML 2024), Hanoi, Vietnam, 5-8 December 2024en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/Centres for Research Training (CRT) Programme/18/CRT/6223/IE/SFI Centre for Research Training in Artificial Intelligence/en
dc.relation.project12/RC/2289-P2en
dc.rights© 2024, the Authors.en
dc.subjectArtificial Intelligence (AI)en
dc.subjectMulti-agent Unnamed Aerial Vehicle (Multi-agent UAV)en
dc.subjectTrustworthinessen
dc.titleTrustworthiness in multi-agent UAV systems: a scoping reviewen
dc.typeConference itemen
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Multi_Agent_UAV_Paper.pdf
Size:
1.2 MB
Format:
Adobe Portable Document Format
Description:
Accepted Version
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Insight Centre for Data Analytics - Conference Items
Computer Science - Conference Items