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.
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.
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.
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.
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.
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.