This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Karlstad University
Artificial intelligence (AI) and institutional capacity
Institutional capacity refers to the ability of public institutions to fulfill their mandates, even under pressure. Robust institutions are a prerequisite for a resilient democracy capable of withstanding various forms of threats and challenges. This course examines institutional capacity in relation to artificial i…
- Higher education
- Information unavailable
- 22 February 2027
- Ortsoberoende
- Information unavailable
- 100 %
Overview
Institutional capacity refers to the ability of public institutions to fulfill their mandates, even under pressure. Robust institutions are a prerequisite for a resilient democracy capable of withstanding various forms of threats and challenges. This course examines institutional capacity in relation to artificial intelligence (AI) with a focus on how AI technologies such as algorithmic manipulation, deepfakes, and automated propaganda affect the ability of democratic institutions to manage threats. The course provides an overview of how Swedish public administration has changed over the past twenty years, with particular emphasis on the increasing use of AI technologies. Through an in-depth study of examples such as automated decision-making, the course analyses how these technologies impact key democratic principles such as accountability and transparency, and the consequences for citizen insight and influence.
Admission scores
Entry requirements
At least 90 ECTS credits, with at least 30 ECTS credits at the G2F level or higher, in Political Science or related main areas of study such as Sociology, Psychology, Philosophy, Media and Communication Studies, History, Civics, and Human Geography, including an independent project of at least 15 ECTS credits at the G2E level, and upper secondary level Swedish 3 and English 6 or Swedish level 3 and English level 2, or equivalent
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
- 2027-02-22
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.kau.svap22.54962.20271
- Last checked
- 2026-09-23T10:37:56.839657+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
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.kau.svap22.54962.20271
- Offering identity in the source
- e.uoh.kau.svap22.54962.20271
- Education-form source code
- HS
- Education code in the source
- SVAP22
- Change time according to the source
- 2026-09-14T15:56:15
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.