Any organisation must always carefully weigh and categorise opportunities and risks to protect business interests and ensure that their data is not misused. The question is: how are we going to feed AI applications with data with these restrictions in place?
The Netherlands AI Coalition wants to simplify data sharing, a crucial element of AI, by researching, further developing, and deploying privacy-enhancing techniques (PETs). Knowledge about what is and is not allowed should be readily available. Besides, ecosystems around a specific sector or region must be encouraged to consider data sharing solutions.
The Data Sharing working group provides participants with knowledge and resources around responsible data sharing. There are also training courses for different target groups. An extensive report is readily available containing detailed information about data sharing in AI, the possibilities, the preconditions, and which processes can be followed. The knowledge base is put into practice through use cases. These use cases are identified per sector and carried out by the member organisations.