Enhancing Trust in AI for Remote Digital Towers: From Gap Analysis to Integration
Paper ID
SIDs-2025-113
Conference
SESAR Innovation Days
Year
2025
Theme
Human Factors and Decision Support Tools I
Project Name
SESAR 3 ER1 project TRUSTY
Keywords:
Air Traffic Control; Explainable Artificial Intelligence; Gap Analysis; Remote Digital Towers; Trust
Authors
Sara Kebir, Alexandre Veyrié, Guillaume Truong, Elizabeth Humm, Nicola Cavagnetto, Mobyen Uddin Ahmed, Shaibal Barua, Mir Riyanul Islam, Giulia Cartocci, Pietro Aricò and Christophe Hurter
DOI
https://doi.org/10.61009/SID.2025.1.53
Project Number
101114838
Abstract
Remote Digital Towers (RDTs) use multimodal feeds and AI to support air traffic controllers. While AI offers vigilance and consistency, trust remains essential to preserve human authority in safety-critical operations. This paper presents: (1) a review of human–AI collaboration in RDTs, (2) a gap analysis of trust, task allocation, and human–machine interface (HMI) design, and (3) integration strategies including explainable AI, adaptive workload management, and progressive trust-building. We propose initial Key Performance Indicators (KPIs) linking psychological trust constructs to operational outcomes. Our contribution clarifies how to deploy AI in RDTs without com- promising safety, transparency, or human agency.