Conference Description
Key Takeaways
- Fifth annual summit focused on transitioning artificial intelligence from experimentation to operational deployment within defence and national security contexts
- Designed for senior leaders across the Department of War, Intelligence Community, federal agencies, industry and academia
- Core themes include AI-enabled command and control, autonomous systems, data infrastructure, generative AI and human-machine teaming
- Addresses operational challenges including interoperability, model validation, workforce development and legacy system modernisation
- Takes place at the AIA Global Campus for Architecture & Design in Washington, D.C.
Introduction
The 5th annual AI for Defense Summit convenes senior defence leaders, intelligence professionals, federal officials and technology innovators to examine how artificial intelligence is reshaping national security operations. As military organisations worldwide accelerate their AI adoption programmes, this gathering addresses the critical challenge of moving beyond pilot projects toward sustained operational capability. The summit arrives at a moment when defence establishments face mounting pressure to integrate AI across warfighting domains while maintaining the trust, security and interoperability that mission-critical systems demand.
About This Event
Held at the AIA Global Campus for Architecture & Design in Washington, D.C., the summit brings together participants from the Department of War, military services, the Intelligence Community, federal agencies, industry solution providers and academic institutions. The programme combines keynote presentations, panel discussions, interactive sessions and product demonstrations, structured around an executive-level format that encourages direct engagement between attendees and speakers.
The event positions itself as a non-partisan forum where decision-makers and technology providers can examine both strategic direction and practical implementation. Networking opportunities and exhibit space allow participants to explore commercial solutions alongside policy discussions.
From Experimentation to Operational Deployment
A central focus of the summit is the transition of AI capabilities from controlled experimentation into real-world defence applications. This shift presents distinct challenges that differ substantially from commercial AI deployment. Defence systems must function reliably in contested environments, integrate with legacy infrastructure, and meet stringent validation requirements before commanders can trust them with consequential decisions.
The programme examines the Department of War’s AI Acceleration Strategy and explores how acquisition reforms can support faster capability delivery without compromising the rigorous testing that military systems require. Sessions address the tension between the rapid iteration cycles that characterise AI development and the deliberate validation processes that defence procurement traditionally demands.
AI-Enabled Command and Control
Command and control represents one of the most consequential applications of AI within defence organisations. The summit dedicates significant attention to AI-enabled C2 and its role within Combined Joint All-Domain Command and Control (CJADC2), the framework through which military services aim to share data and coordinate operations across air, land, sea, space and cyber domains.
Effective CJADC2 implementation depends on AI systems that can process vast quantities of sensor data, accelerate intelligence analysis and present commanders with decision-relevant information at operationally useful speeds. The technical challenges are substantial: systems must maintain performance when communications are degraded, adversaries are actively interfering, and the operational picture is incomplete or contradictory.
Data Infrastructure and Model Trust
AI capabilities are only as reliable as the data foundations that support them. The summit addresses data management challenges that defence organisations face when attempting to train, validate and deploy AI models at scale. These include data quality, classification constraints, interoperability between systems and the governance frameworks necessary to ensure responsible use.
Model validation and trust emerge as recurring themes throughout the programme. Unlike commercial applications where errors may cause inconvenience, defence AI systems operate in contexts where failures can have severe consequences. Establishing appropriate levels of trust—neither excessive nor insufficient—requires validation methodologies that can assess model performance across the range of conditions systems may encounter.
Autonomous Systems and Human-Machine Teaming
The integration of autonomous systems into military operations raises questions that extend beyond technical performance. The summit explores human-machine teaming concepts that determine how personnel and AI systems share tasks, how authority is allocated, and how operators maintain meaningful oversight of automated processes. These considerations shape both system design and operational doctrine.
Generative and agentic AI capabilities receive particular attention as these technologies mature and defence organisations evaluate their potential applications. The programme examines both opportunities and risks, including cybersecurity implications and the resilient architectures necessary to protect AI systems operating in contested environments.
Who Should Attend
The summit is structured for senior leaders and decision-makers responsible for AI strategy, implementation and oversight within defence and national security organisations. Relevant roles include Chief AI Officers, Chief Data Officers, Chief Technology Officers, Chief Information Officers, programme executives, technology advisors and senior analysts. Participants from industry organisations developing defence AI solutions and academic researchers working on relevant technologies will also find the programme applicable to their work.
Workforce and Institutional Challenges
Successful AI integration depends on more than technology acquisition. The summit addresses workforce development requirements, recognising that defence organisations must cultivate personnel capable of developing, deploying and operating AI systems effectively. Institutionalising AI across large organisations requires changes to training, career paths and organisational culture that take years to implement fully. These human and institutional dimensions often prove more challenging than the technical problems they accompany.