Trustworthy Artificial Intelligence
This course provides you with the necessary knowledge to critically evaluate existing AI methods, techniques, and algorithms. We focus on reliability, explainability, transparency, fairness, and trust in AI systems.
About the course
AI systems are increasingly being integrated into various industrial processes, including manufacturing, logistics, and autonomous vehicles. Trustworthy AI ensures that these systems operate reliably, reducing the risk of accidents or costly errors.
Trustworthy AI helps companies comply with ethical standards and legal regulations. It ensures that AI systems do not discriminate against certain groups, violate privacy rights, or engage in other unethical behaviors.
The course includes prerecorded videos, texts, scripts, and articles for self-study. There are no scheduled meetings in the course.
You will learn
- to describe and understand the fundamentals of trustworthy AI,
- apply XAI methods and algorithms
- understand the measures of fair ML
Requirements
Below you find the entry requirements for the course. If you do not fulfill the requirements, you can get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etcetera. Read more in the section Application information below.
Occasions for this course
Autumn semester 2025
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Scope
2.5 credits
Time
2025-11-10 - 2025-12-14 (part time 25%)
Education level
Second cycle
Course type
Freestanding course
Application code
MDU-24508
Language
English
Study location
Independent of location
Teaching form
Distance learning
Number of mandatory occasions including examination: 0
Number of other physical occasions: 0Course syllabus & literature
See course plan and literature list (DVA507)Specific requirements
90 credits of which at least 60 credits in Computer Science or equivalent, including 15 credits in programming as well as 2,5 credits in basic probability theory and 2,5 credits in linear algebra, or equivalent. In addition, Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.
Selection
University credits
Questions about the course?
If you have any questions about the course, please contact the Course Coordinator.
Application information
You’ll find the entry requirements in the course description. After submitting your application, the next step is to submit documentation to demonstrate your eligibility for the course. Most academic credentials from Sweden are retrieved automatically. Wait a few days after submitting your application - if you still can’t see your academic credentials om My pages, please upload them.
If you have studied in another country, you must provide transcripts of your academic studies and of your English proficiency. Exactly what you need to submit and how, depends on several factors. You can read more on universityadmissions.se or antagning.se.
If the course requires work experience, you need to provide an employer’s certificate. You can download a template for employer’s certificate below.
No academic qualifications?
Many courses requires that you have previous academies studies, but we can validate work experience to determine whether you have the qualifications for the course.
If you don’t have the formal qualifications required, please send in a certificate of employment (current or previous) and a CV/Description of competence that describes your educational and professional background. Please include a short description of your work experience, not only the work title.
Use the CV/ Description of competence template below and fill in the information requested.
You can also use our template for Employers certificate if you like.
Download a template for CV/Description of competence
Word, 46 kB, opens in new window.
Download a template for Employers certificate Word, 38 kB, opens in new window.
If you have any questions regarding eligibility or application please send an e-mail to lifelonglearning