Human-Swarm-Teaming Transparency and Trust Architecture
| Autor: | Essam Debie, Aya Hussein, Kate J. Yaxley, Adam J. Hepworth, Hussein A. Abbass, Daniel P. Baxter |
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| Rok vydání: | 2021 |
| Předmět: |
Control and Optimization
Knowledge management Situation awareness business.industry Computer science 05 social sciences 02 engineering and technology Transparency (behavior) Artificial Intelligence Control and Systems Engineering Enabling 0202 electrical engineering electronic engineering information engineering Task analysis Key (cryptography) Portfolio 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Architecture business 050107 human factors Information Systems Interpretability |
| Zdroj: | IEEE/CAA Journal of Automatica Sinica. 8:1281-1295 |
| ISSN: | 2329-9274 2329-9266 |
| DOI: | 10.1109/jas.2020.1003545 |
| Popis: | 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 explain ability. 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). |
| Databáze: | OpenAIRE |
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