FAIR Data, Ethics and AI

 

 

EUDAT Conference 2024

3-5 December 2024 | Karlsruhe, Germany

Description | Programme | Venue | Open Calls | Partnership | Hotel List

Session Organisers : Jos Van Wezel & Peter Kraus ( KIT)

Presenters : 

Theresa Willem, TUM Germany

Daniel San Martin Segura, Predictia

Florian Schwarz, German Institute of Human Nutrition

In the session "FAIR data,  ethics and AI" researchers present experiences and ideas from their daily research applying and training artificial intelligence models. Collection and use of data for AI models, not only in the medical domain, raises ethical considerations and has implications for the technical data handling workflows and the application of FAIR principles. Examples from different domains will show the audience how AI research implements FAIRness and how this research can effectively use generalised data infrastructures such as the EUDAT CDI and the future EOSC federation.

The presentations from the session are now available. Revisit the latest discoveries FAIR Data, Ethics and AI below:

The social construction of uncategorised data by Theresa Willem 

Model Provenance and Domain Metadata in AI4EOSC by Daniel San Martin Segura

Federated data analysis with DataSHIELD by Florian Schwarz