Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

Explainable AI for Industrial Applications

Reference number
Coordinator Mälardalens Universitet - Akademin för innovation design & teknik IDT
Funding from Vinnova SEK 198 000
Project duration December 2021 - December 2023
Status Completed
Venture AI - Competence, ability and application
Call Staff exchange for applied AI-research 2.0

Important results from the project

Mälardalen University has emerged as a frontrunner in the AI race and has already initiated projects like ARTIMATION, which involves the practical implementation of XAI. In order to further enhance the capabilities of researchers in this emerging domain of XAI, this collaboration is highly advantageous. This aligns with the university´s strategy of co-production and contributes to the university´s international recognition for its AI-related endeavours. It strengthens research and educational competence in XAI and promotes collaboration between Sweden and the USA.

Expected long term effects

Etablera samarbete genom att arbeta inom området förklarlig AI, samarbeta i projektet Artimation, skriva gemensamma publikationer, redigera tidskriftsspecialnummer och en doktorandkurs.

Approach and implementation

Vi har framgångsrikt genomfört: -Genomföra gemensam forskning inom tillämpad AI. -Förbereda en prototyp för tillämpningar inom Air trafikledning. -1 workshop-papper till augusti 2022. -Prof. Weber bidrar till undervisningsaktiviteter genom att granska doktorandkursen och stödja handledningen av en doktorand vid MDU. -Genomföra utvärderingar för att undersöka prestandan hos prototypen. -Förbereda en ansökan om att publicera en vetenskaplig artikel. -Planerar att ansöka om forskningsfinansiering inom AI.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 29 January 2024

Reference number 2021-03971