Data Protection and Artificial Intelligence

The course covers the most relevant definitions and basics in both data protection and artificial intelligence, particularly regarding machine learning models based on personal training data. Special emphasis is placed on the various approaches to identifying and managing privacy-related risks when using algorithms for artificial intelligence, as well as the legal requirements for IT systems using AI components, such as machine learning models or large language models. There is a focus on European and Swedish national legislation.

Progressive specialisation: A1N (has only first‐cycle course/s as entry requirements)

Education level: Master's level

Selection:

Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.