THALES

France

Aerospace and Transport, critical systems, Defence & security
Large multinational


Drones, Augmented Reality (XR), explainable AI, wearables
Firefighters (end-users), system designers (test users)
Human-meaningful control, safety, trust in AI

Human-Centred Drone Control for Trustworthy Decision-Making in Critical Missions

THALES develops advanced technologies for citizen protection, critical infrastructure and safety-critical systems. Within the company, cortAIx Labs focuses on AI for critical systems, with strong attention to trustworthiness, explainability and human–system integration. One strategic application area is drone-based operations for high-stress contexts such as search and rescue and wildfire response.

Within SEISMEC, THALES is exploring how human-centric AI, augmented reality and wearable technologies can support operators in critical missions while preserving meaningful human control, safety and trust.

The Challenge

In critical missions, teams need fast, reliable decisions under pressure. Operators must maintain situational awareness, manage cognitive load and stress, and stay in control of actions that may have serious consequences. Drones can extend visibility and reduce exposure to danger, but they can also add coordination effort and new interface demands. THALES needed an approach that improves awareness and decision support without overwhelming operators or shifting decision authority away from them.

The Challenge

In critical missions, teams need fast, reliable decisions under pressure. Operators must maintain situational awareness, manage cognitive load and stress, and stay in control of actions that may have serious consequences. Drones can extend visibility and reduce exposure to danger, but they can also add coordination effort and new interface demands. THALES needed an approach that improves awareness and decision support without overwhelming operators or shifting decision authority away from them.

Workers were part of the design

Direct end-user involvement has been limited so far because access to firefighters and first responders is difficult during the current phase. Human-centric design is supported through informed input from within THALES. Members of the cortAIx Labs team are certified drone pilots and contribute operational expertise to scenario definition and interface design. Interviews with colleagues from other THALES departments with operational experience in drone-based missions have also informed the experimental protocol and design choices.

How it works on site

The system is developed and tested in a prototype environment combining drones, AR/XR interaction, AI decision-support components and wearable sensing. The intended operational setting is high-risk missions where a firefighter may control one or multiple drones to gain a global overview, identify dangerous zones and detect people in need of help.

At this stage, the pilot reflects informed expectations rather than validated end-user experience. A central design requirement is that new interfaces fit standard operational protocols and support decisions under pressure rather than complicating them.

Why it matters

For workers

For end-users such as firefighters, the goal is better situational awareness, better mission performance and safer decision-making without added cognitive strain. Success depends on tools that feel natural in use, provide explanations that can be trusted and keep people as the final decision authority.

For Michelin

For THALES, the pilot advances work on Human-Autonomy Teaming and Human-System Integration in safety-critical contexts, where meaningful human control is essential for legal, ethical and operational reasons. It also strengthens research on trustworthy and explainable AI for critical missions, supporting the development of systems that are technically strong and operationally acceptable.

This pilot applies Industry 5.0 in practical terms, using human-centric AI and XR to support safety, trust and meaningful human control in critical drone missions.

The SEISMEC solution at Kvalitetas

The pilot redesigns work processes using AI, IoT and related tools to increase autonomy, reduce mental load and support better decisions. Technically, Kvalitetas is exploring AI (publicly available in the market) and IoT solutions alongside Manufacturing and Warehouse (integrated into RIVILE GAMA software), Odoo CRM (with AI functionality) Systems to support both management and manufacturing activities.

The tools aim to improve monitoring of production parameters, support inventory and material balance management, improve routine administrative and planning tasks, and strengthen food safety implementation. AI-based tools are also being explored for marketing and communication, including the creation of promotional and educational content that translates scientific and biological product information into accessible messages for consumers interested in functional nutrition and personalised diets.

SEISMEC CAPS factors guide choices and assessment, keeping creativity, automation, productivity, safety and job satisfaction in view.

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