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The course is available for PhD fellows with scholarship and industry professionals.

*Application deadline: April15th, 2024

The course is limited to 25 places. 


Interpretability in 
Deep Learning

Welcome to the summer school “Interpretability in Deep Learning 2024”, organized by the DLN center at UiT The Arctic University of Norway

Oncampus Summer School: 7th - 9th August, 2024 

Venue : TEKNOBYGGET 1,022AUD, Tromsø, Norway


Artificial intelligence (AI) and machine learning approaches are often considered as black boxes, i.e. as a type of algorithms that accomplish learning tasks but cannot explain their knowledge. However, as AI is increasingly adopted for accomplishing human cognitive tasks, it is becoming important that the AI models are understandable. In critical tasks such as deriving, from given data, a correct medical diagnosis and prognosis, collaboration between artificial and human intelligence in imperative so that the suggestions or decision from AI are both more accurate and more trustworthy. ​This intensive course will consider different topics of importance regarding explainable AI, equipping the students with knowledge of approaches that can be used to interpret AI, and AI approaches that are more explainable than others. In addition, the students will receive practical skills of applying selected approaches, which will equip the students with practical skills of adapting to the rapid pace of technology development in the field of explainable AI.

NOTE: First introductory lecture was held on 28th May 2024 (online). [YouTube]

Part of the lectures will be uploaded as video lectures, which is a prerequisite before the onsite (at UiT) program begins in August. The details have been shared during the first digital introductory.

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