Helsinki, May 23–25, 2025 — The TRUSTY project took part in the latest edition of the International Conference on Machine Learning Technologies (ICMLT 2025), a key international event focused on machine learning research and its real-world applications. The conference brought together academics, engineers, and innovators to exchange ideas on how intelligent systems are transforming complex domains, including aviation.

Presenting TRUSTY’s Research Contribution

TRUSTY presented its paper:

“A Multimodal Approach for Enhancing Decision Support in Remote Digital Towers”

The paper outlines a novel framework combining multimodal signals, artificial intelligence, and user experience design to improve decision support systems in Remote Digital Tower (RDT) environments. These towers allow air traffic control services to be delivered from any location, using advanced video and sensor technologies in place of traditional on-site visibility.

In an RDT context, where controllers rely on indirect data rather than direct line-of-sight, enhancing the transparency, reliability, and interpretability of AI-driven recommendations becomes essential. The TRUSTY approach aims to ensure that automation supports—not replaces—human expertise, especially in safety-critical settings like air traffic control.

Why This Matters

RDTs represent one of the most significant shifts in air traffic management in decades. TRUSTY’s research addresses the question of how to integrate AI in a way that fosters trust, clarity, and operational dependability.

Our perspective has remained clear throughout the project:

“It’s not about where controllers operate, but how.
With transparent, intelligent tools, distance is no longer a limitation.”

TRUSTY focuses on designing trustworthy AI that works in synergy with human operators, helping them interpret complex scenarios quickly and with confidence. The project contributes directly to SESAR 3 JU’s flagship initiative “Artificial Intelligence for Aviation,” which supports exploratory research into advanced automation in air traffic services.

Connecting with the Research Community

ICMLT 2025 provided an invaluable platform to share insights and engage with the broader scientific community. Conferences like this one allow TRUSTY to contribute to an ongoing conversation on the responsible application of AI, especially in high-stakes, data-intensive sectors such as aviation.

We thank the entire TRUSTY team and partners for the progress made so far and for their continued commitment to shaping the future of air traffic management.

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Learn more about TRUSTY and its vision for the future of Remote Digital Towers here.

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