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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

Uppgift saknasVerified data is not connected to this education offering.

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

Uppgift saknasVerified data is not connected to this education offering.

Study structure

Uppgift saknasVerified data is not connected to this education offering.

Application and important dates

  1. Programme or course starts
  2. Programme or course ends

Salary and salary distribution

Uppgift saknasVerified data is not connected to this education offering.

Common occupations after graduation

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Students

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Geographical background

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Previous upper-secondary schools and programmes

Uppgift saknasVerified data is not connected to this education offering.

Completion and outcomes

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About the provider

Karlstad University

Provider for the published education offering.

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.