Issues

How can we enable effective and seamless human-machine collaboration in autonomous combat operations to improve mission success rates?

How can we ensure AI systems in defense are consistently reliable and trustworthy under unpredictable conditions?

How can allied defense forces in the Eurozone ensure effective and secure interoperability among diverse AI-powered autonomous platforms to enable true multinational joint operations?

How can defense organizations implement a secure and standardized system for verifiable mission logging of AI-powered autonomous operations to ensure post-mission accountability and learning?

How can we equip autonomous defense systems with secure, real-time learning capabilities, allowing them to recognize and adapt to novel adversarial tactics during missions without compromising safety or control?

How can we ensure that autonomous systems efficiently process and prioritize vast data streams without compromising speed or accuracy?

How can we achieve actionable and real-time explainability for AI-driven autonomous defense systems in unpredictable and adversarial operational contexts?

How can defense organizations predict and manage the reliability and timely maintenance of AI-driven autonomous systems during combat operations, without compromising safety or mission objectives?

How can defense networks achieve cohesive and rapid decision-making by integrating fragmented command and control systems in autonomous operations?

How can defense organizations proactively identify and neutralize zero-day vulnerabilities within AI and autonomy software acquired from diverse global suppliers before deployment into sensitive operational environments?