Use cases

The scarcity of AI talent and the lack of AI experts will be a limiting factor in the development of AI in the Netherlands within the various sectors.
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It is being recognised increasingly widely that exercise is important for health. Exercise improves people’s physical, emotional and mental health, prevents many health problems and is ever more often a key element of treatment for a wide range of diseases and conditions.
With the rise of innovative forms of mobility, we are realising more and more that current legislation, which is aimed at people, does not always apply to smart vehicles. It is crucially important that we decide as a society what the boundaries are within which these systems can operate, and where ethical goals should be defined.
In a constantly evolving and ever more specialised world, people need to keep learning. To update, guarantee and improve their skills so that they can remain a fully-fledged member of society and play their part in it.
There is still a long way to go if we are to achieve a climate-neutral and circular food system in Europe. But that transition is very much needed and artificial intelligence can play a major role in it.
Machine learning and data analysis can play a role in the entire media production chain. AI systems throughout the chain need to be both transparent and explainable, not merely to comply with regulations but also to boost user confidence.
The media sector, cultural institutions and creative industries are cultural cornerstones that are in the vanguard of the digital transformation in many areas. So it is important not only to know what is already happening there in terms of artificial intelligence (AI) but above all to know how. The goal is to achieve ethical, human-centric AI solutions within the digital culture and media sectors.
Urban mobility adds to prosperity and brings people closer together, but quite a few bottlenecks have arisen along the way in the Netherlands. And those bottlenecks are then in a variety of areas too, making it more awkward to find and apply the right mix of solutions.
The ELSA Lab for Poverty and Debt aims to use data science and AI to help reduce or prevent poverty and problematic debts among the inhabitants of the Netherlands. Data science and AI are used in an ELSA-by-design approach in which the ethical, social and legal aspects are leading, from the idea through to its implementation.

Building blocks

The NL AIC collaborates on the necessary common knowledge and expertise, resulting in five themes, also called building blocks. Those are important for a robust impact in economic and social sectors.


AI is a generic technology that is ultimately applicable in all sectors. For the development of knowledge and experience in the use of AI in the Netherlands, it is essential to focus on specific industries that are relevant to our country. These industries can achieve excellent results, and knowledge and experience that can be leveraged for application in other sectors.

Become a participant

The Netherlands AI Coalition is convinced that active collaboration with a wide range of stakeholders is essential to stimulate and connect initiatives in Artificial Intelligence. Within fields of expertise and with other stakeholders in the ecosystem to achieve the most significant result possible in the development and application of AI in the Netherlands. Representatives from the business community (large, small, start-up), government, research and educational institutions and civil society organisations can participate.

Interested? For more information, see the page about participation.

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