VitrAI -- Applying Explainable AI in the Real World

Autor:	Hanussek, Marc, Kötter, Falko, Kintz, Maximilien, Drawehn, Jens
Rok vydání:	2021
Předmět:	Computer Science - Artificial Intelligence Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	With recent progress in the field of Explainable Artificial Intelligence (XAI) and increasing use in practice, the need for an evaluation of different XAI methods and their explanation quality in practical usage scenarios arises. For this purpose, we present VitrAI, which is a web-based service with the goal of uniformly demonstrating four different XAI algorithms in the context of three real life scenarios and evaluating their performance and comprehensibility for humans. This work reveals practical obstacles when adopting XAI methods and gives qualitative estimates on how well different approaches perform in said scenarios. Comment: Accepted for IntelliSys 2021
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2102.06518 Zobrazit plný text záznamu View this record from Arxiv