AI Ethics for Engineers is an advanced Smarter course from Örebro University that gives engineers and developers the ethical grounding needed to build responsible AI. Through case studies, hands-on application of ethical principles and open discussion, you explore the challenges that arise when AI systems are developed and deployed. You learn to critically assess and apply key ethical principles so that AI systems are fair, transparent and responsible. The course is given in English at distance with mandatory meetings on campus.
Duration: 3 months
Format: Hybrid
Location: Örebro
Language: Swedish, English
Level: Advanced
Time commitment: about 80 hours over one semester, part time; distance with mandatory meetings
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About the course.
This certifies that the participant has gained insight into ethical challenges related to AI development and deployment. The participant understands key ethical principles and can critically assess and apply them to ensure responsible and fair AI systems. The course was given on advanced level.
This certifies that the participant has gained insight into ethical challenges related to AI development and deployment. The participant understands key ethical principles and can critically assess and apply them to ensure responsible and fair AI systems.
What you will learn
What you learn.
You can explain key ethical principles relating to the development and use of AI.
You can identify ethical challenges in concrete AI systems and applications.
You can critically analyse and assess AI solutions from ethical perspectives.
You can apply ethical principles to develop more responsible and fair AI systems.
You can reason in a structured way about responsibility and consequences when introducing AI.
Curriculum
How the course is built.
Introduction to AI ethics
Key ethical principles and why they matter in AI development.
Ethical challenges in practice
Case studies of ethical problems in the development and deployment of AI.
Applied ethics
Practical application of theoretical concepts to real AI systems.
Responsible and fair AI
Open discussions on how to ensure fairness, transparency and accountability.
Target audience
Who is this for?
For engineers, developers and other professionals who work with or are introducing AI systems and want to be able to handle ethical issues responsibly. Prerequisites: 180 credits including 15 credits of programming, plus English 5/English A.
What "verified" means here
Verified credential.
When you complete the course, Örebro universitet issues your certificate. Your name, the course content and the issue date are encrypted and secured on blockchain, so it cannot be changed, and anyone can check that it is genuine.
100% Verifiable certificates Secured on blockchain
