Montag, 3. Dezember 2018 16.15 Uhr
Im Neuenheimer Feld 205, Seminarraum A
Explainability is currently discussed as a solution to socio-technical challenges such as intelligent software providing incomprehensible decisions but affecting humans’ lives or big data enabling fast learning but becoming too complex to fully comprehend and judge its achievements. With explainability, more insights to the function, decisions and usefulness of algorithms is expected. Yet, if an explanation is successful, it results in an understanding. And vice versa: If there is understanding, one can (mostly) make it explicit by formulating an explanation. In my presentation, I will elaborate on this bidirectionality of the interactive process of explaining that needs to be taken into account in order to know what contents can be explained to whom in what situations.
Dieser Vortrag ist Teil der Ringvorlesung "Data-centric Software Engineering"