PhD Candidate Kristoffer Wickstrøm gives a tutorial on explainability in AI at the Norwegian Artificial Intelligence Society conference, Juni 1st 2022.
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PhD Candidate Kristoffer Wickstrøm gives a tutorial on explainability in AI at the Norwegian Artificial Intelligence Society conference, Juni 1st 2022.

Invited tutorial at the Norwegian Artificial Intelligence Symposium by Kristoffer Wickstrøm

PhD candidate at UiT Kristoffer Wickstrøm gives invited tutorial at the 2022 Norwegian Artificial Intelligence Society (NAIS) Conference in Oslo.

Invited tutorial at the Norwegian Artificial Intelligence Symposium by Kristoffer Wickstrøm

Interpretable deep learning algorithms is of key interest in the field of artificial intelligence.

Phd candidate at UiT, Kristoffer Wickstrøm, has developed several new approaches to interpretable deep learning as a part of his doctoral thesis work.

These works have been published in high-quality international venues. Based on this body of work, and his overview of the general topic, Wickstrøm was invited to give a tutorial on the topic at the 2022 NAIS conference, organized at OsloMet May 31 and June 1, 2022.

The tutorial was entitled "The past, present, and future of XAI". The tutorial gave an introduction to explainability in artificial intelligence (XAI) and overview of well-known methods and new methodology in the field. Furthermore, the tutorial also covered challenges for current XAI and future directions for XAI research.

Video of the presentation will be made available at the NAIS website.

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