Trustworthiness in Multi-Agent UAV Systems: A Scoping Review

Mai Le, Rosane Minghim, Barry O’Sullivan, Hoang D. Nguyen
Reliable and Trustworthy Artificial Intelligence 2025, PMLR 310:34-44, 2025.

Abstract

The integration of artificial intelligence (AI) into multi-unmanned aerial vehicle-assisted communication plays a pivotal role in sixth-generation wireless communication and be- yond. 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 re- view 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 require- ments 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.

Cite this Paper

BibTeX
@InProceedings{pmlr-v310-le25a, title = {Trustworthiness in Multi-Agent UAV Systems: A Scoping Review}, author = {Le, Mai and Minghim, Rosane and O'Sullivan, Barry and Nguyen, Hoang D.}, booktitle = {Reliable and Trustworthy Artificial Intelligence 2025}, pages = {34--44}, year = {2025}, editor = {Nguyen, Hoang D. and Le, Duc-Trong and Björklund, Johanna and Vu, Xuan-Son}, volume = {310}, series = {Proceedings of Machine Learning Research}, month = {12 Dec}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/v310/main/assets/le25a/le25a.pdf}, url = {https://proceedings.mlr.press/v310/le25a.html}, abstract = {The integration of artificial intelligence (AI) into multi-unmanned aerial vehicle-assisted communication plays a pivotal role in sixth-generation wireless communication and be- yond. 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 re- view 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 require- ments 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.} }
Endnote
%0 Conference Paper %T Trustworthiness in Multi-Agent UAV Systems: A Scoping Review %A Mai Le %A Rosane Minghim %A Barry O’Sullivan %A Hoang D. Nguyen %B Reliable and Trustworthy Artificial Intelligence 2025 %C Proceedings of Machine Learning Research %D 2025 %E Hoang D. Nguyen %E Duc-Trong Le %E Johanna Björklund %E Xuan-Son Vu %F pmlr-v310-le25a %I PMLR %P 34--44 %U https://proceedings.mlr.press/v310/le25a.html %V 310 %X The integration of artificial intelligence (AI) into multi-unmanned aerial vehicle-assisted communication plays a pivotal role in sixth-generation wireless communication and be- yond. 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 re- view 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 require- ments 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.
APA
Le, M., Minghim, R., O’Sullivan, B. & Nguyen, H.D.. (2025). Trustworthiness in Multi-Agent UAV Systems: A Scoping Review. Reliable and Trustworthy Artificial Intelligence 2025, in Proceedings of Machine Learning Research 310:34-44 Available from https://proceedings.mlr.press/v310/le25a.html.

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