Master's thesis: Testing the Explanations of Explainable AI

Create an AutoML-like solution that picks the most interpretable model from a range of possible good enough models.

Solliciteer direct

Required interest(s)

  • Artificial Intelligence
  • Explainable AI

What do you get

  • A challenging assignment within a practical environment
  • € 1000 compensation, € 500 + lease car or € 600 + living space
  • Professional guidance
  • Courses aimed at your graduation period
  • Support from our academic Research center at your disposal
  • Two vacation days per month

What you will do

  • 65%  Research
  • 10%  Analyze, design, realize
  • 25%  Documentation

Explainable machine learning and artificial intelligence models have been used to justify a model’s decision-making process. This added transparency aims to help improve user performance and understanding of the underlying model. However, in practice, explainable systems face many open questions and challenges.

Model agnostic explanations are more approximations. In general there are two kinds of explanations: global and local explanations. For the latter, there’s the possibility that the explanation is off, because it only looks at the local inference. It’s possible that for opposite inference, we get exactly the same explanations. To get proper explanations we’ll need to be able to test them. Are the explanations sensible to business experts and aren’t there any same explanations for opposite outcomes? And do we know when explanations will change?

About Info Support Research Center

We anticipate on upcoming and future challenges and ensures our engineers develop cutting-edge solutions based on the latest scientific insights. Our research community proactively tackles emerging technologies. We do this in cooperation with renowned scientists, making sure that research teams are positioned and embedded throughout our organisation and our community, so that their insights are directly applied to our business. We truly believe in sharing knowledge, so we want to do this without any restrictions.

Read more about Info Support Research here.


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  2. Kennismakingsgesprek

    Na je sollicitatie plannen we iets in en bespreken je (studie) loopbaan, interesses en ambities. We vertellen je over Info Support en jij kan al je vragen stellen.

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  2. Beoordelingen

    Gaan we verder? Dan doe je een assessment van je professionele kennis en persoonlijkheid (capaciteit, competenties en motieven).

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  2. Selectie interview

    Vervolgens plannen we een selectie interview waarin we je professionele kennis en persoonlijkheid verdiepen.

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  2. De ondertekening van een contract

    Loopt alles positief dan ontvang je een contractaanbieding en een uitnodiging voor de tekenmomenten.