Trustworthy Artificial Intelligence
Would you like to learn about 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. Trustworthy AI System course can support in the development of more advanced AI technologies, fostering research collaboration, and attracting talent.
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 Application information below.
Occasions for this course
Autumn semester 2024
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Scope
2.5 credits
Time
2024-11-11 - 2024-12-29 (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.