Technology’s integration in the British Armed Forces: Enhanced and accelerated training in the 21st century

Executive summary

CONTEXT

• It is imperative that the British Armed Forces integrate advanced technologies, particularly Artificial Intelligence (AI), into their training and education. The general character of war is exhibiting signs of advanced, autonomous, and integrated systems, transforming otherwise ‘dumb’ platforms and munitions into part of a lethal net-centric form.
• The United Kingdom (UK), which lacks mass, seeks a decisive technological edge against more sophisticated adversaries. While traditional training methods remain valuable, they should be augmented and, in some areas, completely changed to incorporate AI, so as to prepare personnel for the complexities of modern, all-domain conflict.
  
• AI provides advantages in training and education by doing the following:
  • Enhancing realism and readiness by simulating complex environments;
  • Personalising learning to individual roles, focusing less on content learning and more on learning to adapt, with real-time prompts for learning during training;
  • Strengthening decision-making through data-driven insights and enhanced situational awareness, and deepening knowledge of friendly forces and enemy forces to create a more accurate range of options through real time simulation in mission rehearsal; and
  • Optimising resource allocation, as well as reducing costs and maximising battlespace efficiency through the precise allocation of limited resources throughout the adversary’s battlespace, doing so by exploiting volumes of data that hitherto would have been beyond the computational power to assess or engage.

QUESTIONS THIS POLICY PAPER ADDRESSES:

• What do the British Armed Forces aim to achieve by integrating technology, particularly AI, into their training and operations?

• What technology training currently exists within the British Armed Forces, and how can it be expanded and enhanced?

• What are the benefits to the British Armed Forces of integrating AI into training?

KEY FINDINGS

• The UK has a clear vision for technology-led modernisation. The adoption and integration of autonomous systems will enhance force protection, range, payloads and rates of fire, devolved command, and faster responsiveness of commanders.

• Existing investments in synthetic environments, Virtual Reality (VR), and advanced simulation provide a foundation upon which AI integration can be built.

• AI offers potential across the training spectrum, enabling personalised adaptive learning paths, generating dynamic combat scenarios, providing leader-specific performance assessments for each level of command, and offering an accurate representation of enemy tactics, operational art, and strategic intent.

• Britain can benefit from its allies and partners and learn from its competitors in AI developments and utility, especially in all-domain operations.

• Significant challenges to technology integration persist, including:
  • A deeply ingrained cultural resistance to change, and an insufficiently qualified workforce;
  • Insufficient attention to data quality and security, and underutilisation of data exploitation from ‘live’ events, training, and rehearsals;
  • The limitations of legacy infrastructure, the costs of live ordnance, fuel consumption, and environmental or political opposition; and
  • A lack of clarity on AI biases in likely rules of engagement, either in counter-hybrid operations or in full-scale combat operations where the battlespace is congested.

RECOMMENDATIONS

To improve training to incorporate new technology, especially AI, the British Armed Forces should:

1. Accelerate AI-driven adaptive learning and simulation: Prioritising investment in AI-powered adaptive learning systems and advanced Synthetic Training Environments (STEs) would enable ‘precision training’, accelerating skills development, boosting engagement, and preparing personnel more effectively and cost-efficiently than traditional methods.

2. Cultivate a pervasive, AI-ready digital culture: Implementing comprehensive, multi-tiered workforce programmes, including AI literacy training, specialised AI skills development, and interdisciplinary education, alongside launching awareness campaigns demonstrating efficiency gains will create a cultural shift, which is essential to overcoming resistance.

3. Modernise data and Information Technology (IT) infrastructure for AI: Investing in modernising IT infrastructure; developing data management frameworks that prioritise data security, sovereignty, and quality; building on existing infrastructure for speed; and establishing central data repositories for unified analytics will create a strong backbone for training AI models, enabling real-time decision support, and ensuring the reliability and accuracy of AI applications.

4. Streamline agile procurement and foster dual-use collaboration: Empowering the UK Defence Innovation (UKDI) body with the necessary authority and flexibility to prototype and contract cutting-edge AI, integrating training requirements into procurement cycles, co-investing in Research and Development (R&D) with defence technology companies, funding challenge prizes for faster delivery, and seconding personnel to defence industry will ensure training keeps pace with technological advancements.
5. Establish clear ethical AI frameworks and human-AI teaming doctrines: Developing and implementing clear ethical guidelines for AI, and mandating continuous testing and evaluation of AI systems, is paramount to maintaining trust, mitigating risks, and ensuring that AI augments human judgement and accountability in military contexts, rather than undermining it.