The aim of this report is to enhance recognition and understanding of how Nordic organisations in both public and private sectors have responsibly developed AI based products and services, share lessons learned, best practices and capabilities used in these processes, and give visibility to Nordic AI use-cases based on Nordic datasets. The goal is to motivate organizations and companies to responsibly harness AI for stakeholder benefits. The intended audience for this report is Nordic organizations, including businesses, public actors, decision makers, and other stakeholders in the data value chain.
Authors
- OAI
- oai:DiVA.org:norden-13308
- Pages
- 38
- Published in
- Oslo
- Responsible organisation
- Nordic Council of Ministers, Nordic Innovation
- URN
- urn:nbn:se:norden:org:diva-13308
- Year
- 2024
- pages
- 38
Table of Contents
- Nordic Ethical AI Use cases 9
- The Icelandic Centre for Language Technology (Almannarómur) – Data and infrastructure for Icelandic Language Technology 10
- City of Tampere - Advanced family analytics project 12
- Saidot – AI governance solutions 14
- Head AI – Skills data & synthetic data 16
- Zenseact – Autonomous driving and advanced driver assistance 18
- AI Sweden – AI Ethics Lab and Natural Language Understanding 20
- Telia Crowd Insights – Societal mobility patterns 23
- Ruter – Responsible use of photos from public places 25
- The CLIC project – Data platform for AI based image diagnostics 27
- Finterai – Federated learning for the financial sector 28
- DoMore Diagnostics – Cancer diagnostics solutions 30
- Conclusions 34
- Methodology 37
- Foreword 2
- Background 3
- Executive Summary 5
- Table of Contents 7
- Introduction 8
- Definitions 4
