Author speaking: Proper Machine Learning Explanations through LIME using OptiLIME framework | AISC

Описание: For slides and more information on the paper, visit https://ai.science/e/proper-machine-l...

Speaker: Giorgio Visani; Host: Muhammad Rehman Zafar

Motivation:
In Medicine especially, clinical professionals trust is mandatory to determine the acceptance of an explainable algorithm, considering the importance of the decisions at stake and the related legal issues. In this paper, authors highlighted a trade-off between explanation’s stability and adherence, namely how much it resembles the ML model. Exploiting our innovative discovery, authors proposed a framework to maximise stability, while retaining a predefined level of adherence.