Usability Evaluation of Interactive XAI platform for Graph Neural Networks
Lack of trust in artificial intelligence (AI) models in medicine is still the key blockage for the use of AI in clinical decision support systems (CDSS). Although AI models are already performing excellently in medicine, their black-box nature entails that it is often impossible to understand why a particular decision was made. In the field of explainable AI (XAI), many good tools have already been developed to “explain” to a human expert, for example, which input features influenced a prediction. However, in the clinical domain, it is essential that these explanations lead to some degree of causal understanding by a clinician in the context of a specific application. For this reason, we have developed an interactive XAI platform that allows the domain expert to ask manual counterfactual (“what-if”) questions. CLARUS allows the expert to observe how changes based on their questions affect the AI decision and the corresponding XAI explanation [1].
Please help us now with a usability evaluation and spend 10 minutes and go through this:
https://survey.medunigraz.at/index.php/368984?lang=en
and please fill out all fields (please include all feedback you think is necessary into the boxes),
please note that there will be TWO Windows open: one is the application and one is the questionaire,
so maybe it is better to open them in two separate windows for your convienience,
thank you very much
