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Umeå University
Philosophy of Artificial Intelligence: Ethics and Policy
Recent years have seen rapid progress in the development of artificial intelligent systems. This class will address ethical and societal questions arising from the increasing presence of these systems in our lives, such as: Artificial intelligence allows companies and governments to collect and analyse unprecedented…
- Higher education
- Information unavailable
- 2 November 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
Recent years have seen rapid progress in the development of artificial intelligent systems. This class will address ethical and societal questions arising from the increasing presence of these systems in our lives, such as: Artificial intelligence allows companies and governments to collect and analyse unprecedented amounts of data about us. How does the use of these data for surveillance and manipulation threaten our autonomy and privacy? How do we prevent artificial intelligences from acquiring morally objectionable biases? Who is responsible for the decisions of autonomous automated weapons? What ethical rules should self-driving cars implement? Will artificial intelligence make most human jobs superfluous, and would this be bad? And might superintelligent artificial systems threaten the very existence of humanity?
Admission scores
Entry requirements
90 ECTS credits in philosophy, computer science, history, sociology, political science, cognitive science or equivalent, or a Degree encompassing at least 180 ECTS credits, or equivalent (previous higher education studies in at least one of the subjects listed is highly recommended). Proficiency in English equivalent to Swedish upper secondary course English 6/level 2. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.
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
- 2026-11-02
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.umu.1fl118.13004.20262
- Last checked
- 2026-09-23T10:39:22.250813+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.umu.1fl118.13004.20262
- Offering identity in the source
- e.uoh.umu.1fl118.13004.20262
- Education-form source code
- HS
- Education code in the source
- 1FL118
- Change time according to the source
- 2025-12-11T09:50:24
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.