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Halmstad University
Trustworthy AI and Governance
### Who is this course for? This course provides a practical introduction to AI regulation and the development of trustworthy AI systems. It is intended for professionals with a background in AI, data science, law, compliance, or management, who want to understand how to design, deploy, and govern AI systems in lin…
- Higher education
- Information unavailable
- 31 August 2026
- Ortsoberoende
- Information unavailable
- 17 %
Overview
### Who is this course for? This course provides a practical introduction to AI regulation and the development of trustworthy AI systems. It is intended for professionals with a background in AI, data science, law, compliance, or management, who want to understand how to design, deploy, and govern AI systems in line with the EU AI Act and principles of trustworthy AI. ### What will you learn from this course? Students will learn about the legal and regulatory framework for AI, including the classification of AI systems by risk and enforcement timelines under the EU AI Act. They will explore key principles of trustworthy AI, such as fairness, transparency, explainability, and accountability, and gain skills in designing compliance roadmaps, performing AI risk assessments, and implementing governance measures across AI lifecycles. The course also covers organizational readiness, participatory design, and strategies for embedding trustworthiness in AI development. ### What is the format for this course? Instruction type: Asynchronous online modules + optional live Q&As/workshops. Methods: Case studies, expert videos, scenario-based and co-design learning. Examination: Quizzes and practical project (e.g., AI risk analysis or compliance strategy).
Admission scores
Entry requirements
Degree of Bachelor or Degree of Bachelor of Science in Engineering. The degree must be equivalent to a Swedish kandidatexamen or Swedish högskoleingenjörsexamen and must have been awarded from an internationally recognised university. English 6 or English level 2. Exemption of the requirement in Swedish is granted for those with foreign grades.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.hh.dt8068.13651.20262
- Last checked
- 2026-09-23T10:37:30.869721+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.hh.dt8068.13651.20262
- Offering identity in the source
- e.uoh.hh.dt8068.13651.20262
- Education-form source code
- HS
- Education code in the source
- DT8068
- Change time according to the source
- 2026-07-13T10:29:55
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.