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Defence AI – AI for Security and Defence

The Competence Center Defence AI brings together DFKI's expertise in research, development and testing of trustworthy, integrative and sovereign AI systems for security and defence, in particular with respect to dual-use technologies with clear civil transferability.

Its objective is to make a substantial contribution to the technological sovereignty, resilience and operational capacity with respect to Germany and Europe, in particular in relation to security-critical, highly dynamic and crisis scenarios. The work of the Competence Center Defence AI is in line with democratic values, legal frameworks, as well as ethical and humanitarian principles, and also addresses civil-military cooperation.

In doing so, the DFKI advances its mission for research on "Human Centric AI", with a focus on the security of society and the state. This applies in particular to controllability, robustness, reliability and explainability through Responsible AI, as well as the integrative system design of corresponding Trusted AI systems in complex environments and system contexts. This enables intelligent decision-support systems, reconnaissance, situational awareness, and the integrative AI design of autonomous systems, which can serve to detect and prevent threats, thereby minimising risks and contributing to stabilisation in order to enhance overall security and resilience.
 

Topics

Intelligence, Surveillance and Reconnaissance (ISR) and Decision Support

AI-supported detection, analysis, fusion, and visualization of complex security situations

Autonomous, Cooperative, and Robotic Systems

Robotics, autonomy, and human-machine cooperation in demanding operational and support environments

Trusted AI, Robust AI, and Verifiable Safety-Critical Systems

Robust, comprehensible, verifiable, and secure AI systems

Digital Twins, Simulation, and Systems of Systems

Virtual models, forecasting, evaluation, and optimization of complex systems and scenarios

Protection of Critical Infrastructure, Homeland Security

KRITIS, maritime contexts, homeland security, resilience, and coordinated security situations

Integrated Information Systems

Cross-cutting area for continuous physiological sensing, monitoring, and integrated information systems

  1. TrustML develops methods for secure and trustworthy AI systems that can be reliably deployed even in critical application areas.

  2. GenSeC develops evaluation methods for generative AI models to ensure their reliability even under critical and manipulated conditions.

  3. The project explores passive sensing technologies and AI methods to improve autonomous navigation and object detection at night, even under challenging visibility conditions.

Team

DepartmentsContact PersonKey Competencies
Agents and Simulated Reality - ASR (Saarbrücken)Dr.-Ing. Christian MüllerTrusted AI and hybrid AI; intelligent agents, synthetic data and simulation; verification, certification and IT security assessment
Cooperative and Autonomous Systems - CAS (Osnabrück)Dr. Alexander SungSensor-based reconnaissance and situational awareness; cooperative and autonomous systems with embedded AI; robust, explainable autonomy and simulation-based logistics
Laboratory for Certification and Digital Sovereignty - CertLabRoland VogtTrusted Physical AI; security engineering for complex systems; securing communication; enabling control (Human-in-the-Loop); validation, auditing and certification according to regulatory requirements
Cognitive Assistants - COS (Saarbrücken)Dr. Anselm BlocherReal-time human-robot collaboration; digital twins; simulation-based resource planning, prediction and optimization
Cyber-Physical Systems - CPS (Bremen)Prof. Dr. Christoph LüthFunctional safety and IT security; formal modelling and verification; securing safety-critical cyber-physical systems
Cognitive Social Simulation - CSS (Trier)Prof. Dr.-Ing. Ingo TimmModelling human decision-making and interaction behaviour; agent-based crisis and operational simulations; planning and optimization of socio-technical systems
Experience-Based Learning Systems - EBLS (Trier)Prof. Dr. Ralph BergmannExperience-based and hybrid reasoning; knowledge graphs, process mining and generative AI; explainable decision support in dynamic situations
Embedded Intelligence - EI (Kaiserslautern)Prof. Dr. Paul LukowiczConnected sensor-actuator systems and multimodal sensing; embedded and energy-efficient AI; mobile and continuous monitoring
Intelligent Markets - IM (Osnabrück)Dr. Friedemann KammlerCoordination and allocation mechanisms for autonomous and hybrid systems; self-coordinating resource systems and adaptive performance orchestration (e.g., additive component repair in the field); operationalisation of regulatory requirements, e.g., in procurement and tendering processes
Interactive Machine Learning - IML (Oldenburg / Saarbrücken)Omair BhattiRobust and secure machine learning; detection of attacks, poisoning and bias; XAI and neuro-symbolic validation
Robotics Innovation Center - RIC (Bremen)Dr. Daniel KühnMobile robotics for ISR and reconnaissance; autonomous perception, navigation and manipulation; robust land and water systems for challenging operational environments
Smart Data & Knowledge Services - SDS (Kaiserslautern)Dr. Tobias WirthGeo and Earth observation data for situational awareness; robust and transparent AI; strategic foresight, scenario analysis and adaptive decision dashboards
Speech and Language Technologies - SLT (Berlin) Dr. Tim PolzehlMedia forensics, OSINT analysis, deepfake and disinformation detection for situational awareness and credibility assessment; robust and transparent AI; strategic foresight
Smart Service Engineering - SSE (Saarbrücken)Dr.-Ing. Sabine JanzenMultimodal crisis and anomaly detection; explainable decision support and maritime situational awareness; quantum AI and systems-of-systems simulation