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eXplainable AI for end users and developers (R-10252)

In this project, we map XAI for developers, decision makers and end users. Since the usability, intelligibility and control of an AI-based system contribute significantly to the acceptance and usefulness of this technology, it is important that the Flemish industry can easily optimize these aspects within their AI solutions. In order to obtain a workable scope, we focus on a number of specific classes of AI algorithms. Initially, we aim to provide solutions for software that uses neural networks, statistical models, or decision trees. Depending on the cases provided by the industrial partners of this project, other classes of algorithms can be targeted
Date:1 Oct 2019 →  31 Dec 2021
Keywords:Artificial Intelligence, eXplainable AI, intelligibility
Disciplines:Software engineering , Virtual reality and related simulation, Interactive and intelligent systems
Project type:Collaboration project