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AI Ethics Lab

The purpose of the Swedish AI Ethics Lab is to provide guidance and support in implementing ethics in AI development.

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Clinical medicine has historically overlooked gender, racial, and geographic diversity. This means that the data that is currently used for training algorithms used for medical diagnosis risks being prejudiced, and that the AI solutions even reinforce this bias over time. For example, skin cancer-detecting algorithms risk being less accurate when used on dark-skinned patients, since they are trained on fair-skinned images.

In an attempt to address ethical aspects such as this, a number of checklists and guidelines for trustworthy and ethical AI have been produced by both public decision-making bodies, industry and academic institutions. However, implementing these guidelines and putting them into practice often proves to be a challenge. AI Sweden therefore launched the Swedish AI Ethics Lab with the aim to help move AI ethics in Sweden from abstract guidelines to practical application. 


The members that have been appointed as part of this group are as follows

Anna Nordell Westling, Sana Labs
Daniel Akenine, Microsoft
Evelina Anttila, Peltarion
Helena Thybell, Save the Children
Katarina Gidlund, Mid Sweden University
Louise Callenberg, PublicInsight
Magnus Boman, KTH Royal Institute of Technology and Karolinska Institutet
Martin Engström, Region Halland
Sara Övreby, Google
Stefan Larsson, Lund University
Theodor Andersson, Agency for Digital Government


The purpose of the Swedish AI Ethics Lab is to provide guidance and support in implementing ethics in AI development.


Download the meeting notes and strategic insights: 
May 2021
September 2021
November 2021

AI Ethics Lab was initiated by AI Sweden and the members were appointed by the AI Sweden steering committee. This was a pilot project in 2021.

Contact

A picture of Karin Vajta Engström
Karin Vajta Engström
Head of Communications
+46 (0)73-058 09 94