BRAINTEASER presented at MIE 2022 as an example of fair modeling

On May 27th 2022 Arianna Dagliati, University of Pavia, will contribute to the panel discussion “Explainability, Causability, Causality, Reliability: The many facets of “good” explanations in XAI for health (Enea Parimbelli, Arianna Dagliati, Brent Mittlestadt, Riccardo Guidotti, Niels Peek, Andreas Holzinger)” at MIE 2022.

The focus of Arianna’s talk will be on  “reliability”: When a prediction from a model is “reliable” and what it means for explainability?.

BRAINTEASER will be mentioned as an example of FAIR modeling: the project’s data semantically integrated  and shared as open linked data according to the FAIR principles, provide a single coherent, machine and human processable, searchable, re-usable and exploitable asset beyond the BRAINTEASER consortium and the project’s itself.