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Løvstakken, Bergen, Norway photo by @sharon_christina

Nordic Artificial Intelligence

Building on Nordic AI Strategies to Develop Responsible AI

I decided to write a mockup today of what a course on AI in Society could look like, and I thought it would be wise to combine a clear focus in the Nordic with perspectives on artificial intelligence. When there is a legacy of thinking in regards to equality and welfare, then there must be considerations taken related to this with the deployment of new technology. An addition to the discussion of AI must be the recognition of the need for urgent ways to address the local and global impact of the climate crisis.

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Location of the Nordic countries — geographical and cultural region in Northern Europe and the North Atlantic, where they are most commonly known as Norden (literally “the North”)

Nordic Artificial Intelligence

Course content

This course will give you an understanding of Nordic strategies on Artificial Intelligence (AI) and questions relating to implementing AI in welfare, health, gender equality, income inequality and the environment. As such this course will be focused on AI policy from the Nordic countries compared with other AI policies around the world. The aim is to understand how the Nordic societies are using AI as an extension of these guidelines.

  1. Public discussions on the topics AI in welfare, labour and the climate crisis.
  2. Theories, methods and approaches to AI in society. Visiting AI projects.
  3. Designing applications of AI with technologists and social thinkers.

Learning outcome

Knowledge

  • Outline of the Nordic countries as geographical and cultural region. The focus will bring an overview of all the Nordic AI strategies with a comparison against other national or regional strategies.
  • Current challenges in development of artificial intelligence relating to labour, welfare and health. With examples of how machine learning is being implemented in different Nordic countries.
  • Understanding how AI can adversely or negatively impact the current climate crisis and the main standpoints within the Nordic region relating to this topic.
  • Writing rudimentary code in Python.
  • Applications of transdisciplinary methods to collaborate on the development of solutions in the field of AI.
  • Examining and addressing government tenders relating to AI.
  • Enhanced teamwork capability, in particular collaborating with programmers or technologists in discussing societal impact of different solutions.
  • Awareness of the shift from human-centred to planet-centred AI.

Curriculum

Books:
Callon, M. (2009). Acting in an uncertain world. MIT press.

Written by

AI Policy and Ethics at www.nora.ai. Student at University of Copenhagen MSc in Social Data Science. All views are my own. twitter.com/AlexMoltzau

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