Leila Methnani

Contact

leila.methnani@umu.se

Works at

Doctoral student at Department of Computing Science

MIT-huset, Umeå universitet, MIT.E.249 Umeå universitet, 901 87 Umeå

MLOps for cyber-physical production systems: challenges and solutions

IEEE Software

Faubel, Leonhard; Woudsma, Thomas; Kloepper, Benjamin; et al.

Who's in charge here? a survey on trustworthy AI in variable autonomy robotic systems

ACM Computing Surveys, Association for Computing Machinery (ACM) 2024, Vol. 56, (7)

Methnani, Leila; Chiou, Manolis; Dignum, Virginia; et al.

The impact of mixed-initiative on collaboration in hybrid AI

HHAI 2024: hybrid human AI systems for the social good: proceedings of the third international conference on hybrid human-artificial intelligence, Amsterdam: IOS Press 2024 : 469-471

Methnani, Leila; Dahlgren Lindström, Adam; Dignum, Virginia

Clash of the explainers: argumentation for context-appropriate explanations

Artificial Intelligence. ECAI 2023: XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 – October 4, 2023, Proceedings, Part I, Springer 2024 : 7-23

Methnani, Leila; Dignum, Virginia; Theodorou, Andreas

Operationalising AI ethics: conducting socio-technical assessment

Human-Centered Artificial Intelligence: Advanced Lectures, Springer 2023 : 304-321

Methnani, Leila; Brännström, Mattias; Theodorou, Andreas

Embracing AWKWARD! A Hybrid Architecture for Adjustable Socially-Aware Agents

UMNAD, 1352

Methnani, Leila

Embracing AWKWARD! Real-time Adjustment of Reactive Plans Using Social Norms

Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XV: International workshop, coine 2022, virtual event, may 9, 2022, revised selected papers, Springer Nature 2022 : 54-72

Methnani, Leila; Antoniades, Andreas; Theodorou, Andreas

Let Me Take Over: Variable Autonomy for Meaningful Human Control

Frontiers in Artificial Intelligence, Frontiers Media S.A. 2021, Vol. 4

Methnani, Leila; Aler Tubella, Andrea; Dignum, Virginia; et al.

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Research groups

Group member

Responsible Artificial Intelligence