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Volume 8 Issue 7
Jul.  2021

IEEE/CAA Journal of Automatica Sinica

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Adam J. Hepworth, Daniel P. Baxter, A. Hussein, Kate J. Yaxley, E. Debie, and Hussein A. Abbass, "Human-Swarm-Teaming Transparency and Trust Architecture," IEEE/CAA J. Autom. Sinica, vol. 8, no. 7, pp. 1281-1295, Jul. 2021. doi: 10.1109/JAS.2020.1003545
Citation: Adam J. Hepworth, Daniel P. Baxter, A. Hussein, Kate J. Yaxley, E. Debie, and Hussein A. Abbass, "Human-Swarm-Teaming Transparency and Trust Architecture," IEEE/CAA J. Autom. Sinica, vol. 8, no. 7, pp. 1281-1295, Jul. 2021. doi: 10.1109/JAS.2020.1003545

Human-Swarm-Teaming Transparency and Trust Architecture

doi: 10.1109/JAS.2020.1003545
Funds:  This work was supported by United States Office of Naval Research-Global (ONR-G) (N629091812140)
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  • Transparency is a widely used but poorly defined term within the explainable artificial intelligence literature. This is due, in part, to the lack of an agreed definition and the overlap between the connected — sometimes used synonymously — concepts of interpretability and explainability. We assert that transparency is the overarching concept, with the tenets of interpretability, explainability, and predictability subordinate. We draw on a portfolio of definitions for each of these distinct concepts to propose a human-swarm-teaming transparency and trust architecture (HST3-Architecture). The architecture reinforces transparency as a key contributor towards situation awareness, and consequently as an enabler for effective trustworthy human-swarm teaming (HST).


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    • Propose a Human-Swarm-Teaming Transparency and Trust Architecture, HST3.
    • HST3-Architecture reinforces transparency as a key contributor towards situation awareness.
    • Assert that transparency is the overarching concept, comprising of three subordinate tenants.
    • Define the key sub-tenants of interpretability, explainability, and predictability.


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