DAIS-ITA scenario

By G. White, S. Pierson, B. Rivera, Maroun Touma, Paul Sullivan, Dave Braines. 2019

12 citations recorded by the source corpus.

Ongoing research with The International Technology Alliance in Distributed Analytics and Information Sciences (DAIS-ITA) aims to enable secure, dynamic, semantically-aware, distributed analytics for deriving situational understanding in future coalitions. This paper sets out an example military scenario and operations in a future time frame, to capture the expected battlespace context and key future challenges. Key considerations involve complex multi-actor situations, high complexity information, high tempo processing, all within human-machine hybrid-teams. The coalition composition of these teams is critical and all resources will be constrained. A phased operation is proposed across rural and urban operation involving a range of ISR sensors and autonomous devices. All these are subject to enemy action and perturbation and must be used across a highly contested and congested electromagnetic spectrum. Agile command and control is required across the coalition with information arriving from multiple sources and partners that may also be utilised for learning.

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Citations in the corpus

Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI (2020, background): “6 Here, we describe the coalition setting and how AI systems may be deployed in this setting to support human decision making.”
Explainable AI for Intelligence Augmentation in Multi-Domain Operations (2019, background): “In such cases, analytics composition will be dynamic and context-speciﬁc, with continual re-provisioning and resource optimisation (White et al. 2019).”