Explainable AI A1F

Education facts

Code: IT790A

<p>The course highlights the application of data-driven Explainable AI (XAI) approaches to understand AI models and their results. The main emphasis lies on post hoc explanations and how to use them as a basis for appropriate decisions. Moreover, the course focuses on how to avoid uncertainties in the predictions as well an understanding of the value of transparency and explainability for the decision-maker. The course incorporates theories and methods of XAI and discusses the benefits and limitations of XAI.</p>

Entry requirements

The course has the following entry requirements: passed IT734A Data Mining A1N and passed IT740A Visual Data Analysis A1N (or the equivalent).

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Explainable AI A1F

  University of Skövde

  Skövde

  Start date: 31 August 2026

  End date: 1 November 2026

  Pace of study: 50 %