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GAP analysis ‘From data sharing proofs-of-concept towards operationalization of the system architecture’

To gain insight into the opportunities and challenges for operationalisation and large-scale application of AI, the Data Sharing working group carried out a GAP analysis based on three use cases.

Responsible data sharing in AI

Together with algorithms, data is the building block for AI applications, which must function properly and responsibly. The Data Sharing working group has released this report (in Dutch) to help realise AI-implementations.

Action agenda Netherlands AI Coalition

The NL AIC drew up an action agenda at the time of establishment, focusing on human capital, research and innovation, data sharing, social acceptance and inclusion and startups and scale-ups.

Logo Netherlands AI Coalition English (.svg)

Here you can download and use the logo of the Netherlands AI Coalition if you are a participant. There are conditions attached to the use of our logo. If you are not a participant, please contact us.

Logo Netherlands AI Coalition English (.png)

Here you can download and use the logo of the Netherlands AI Coalition if you are a participant. There are conditions attached to the use of our logo. If you are not a participant, please contact us.