
First global summit on AI in the military domain
This first summit on responsible AI in the military field in The Hague attracts more than 1,000 participants, including ministers, policy makers, academics, business leaders, civil society organizations and journalists from around the world.
By inviting all relevant stakeholders, the Dutch government wants to share and build knowledge and understanding of military AI internationally, break through the silos between different stakeholders and move this topic higher on the international political agenda.
Academics and other stakeholders are invited to submit research and position papers. TNO supports this initiative and publishes a position paper especially for this summit.
Position Paper: Operationalization of meaningful human control for military AI, a way forward
In this position paper, a short opinion piece, TNO presents the (multi-level) Socio-Technological Feedback Loop (STFL). This is an approach that can be widely used for the responsible deployment of AI systems, including in the military domain.
The rapid rise of Artificial Intelligence (AI) has fueled thinking about, but also the development and use of intelligent and autonomous systems in the military domain. As AI continues to develop, the opportunities for AI to do parts of human work will also increase. We see potential benefits for the armed forces in increasing the speed, efficiency, effectiveness and safety of operations.
The STFL is a methodology for properly involving all stakeholders in the governance, design, development and deployment of AI-based systems. This methodology must lead to clear assigned responsibilities and the by people desired outcomes of military operations.
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AI Systems Engineering & Lifecycle Management
The AI system for the future. At TNO, we work on AI systems that remain reliable and can handle new functions in the future.


Educating AI
You can read about how AI is educated in Chapter 1. How can we make clear to AI which goals we want to pursue as humans? Andhow can we ensure intelligent systems will always function in service of society?


Innovation with AI
What does that world look like in concrete terms? Using numerous examples, TNO has created a prognosis for the future in Chapter 2. Regarding construction, for example, in which AI will be used to check the quality, safety, and energy efficiency of buildings before they are actually built. Or healthcare, where robots will partly take over caregivers’ tasks and AI will be able to autonomously develop medicines.


Innovating with innovation AI
How AI will change research itself is explained in Chapter 3. For example, what role will AI be permitted to play in knowledge sharing? And what will happen when we make machines work with insurmountably large data sets?


David Deutsch on the development and application of AI
Peter Werkhoven, chief scientific officer at TNO, joins physicist, Oxford professor, and pioneer in the field of quantum computing, David Deutsch, for a virtual discussion. Deutsch set out his vision in 1997 in the book, The Fabric of Reality. Together, they talk about the significance of quantum computing for the development and application of AI. Will AI ever be able to generate ‘explained knowledge’ or learn about ethics from humans?

