Digital frukost: AI and responsible research and innovation in health decision-making

Artificial intelligence (AI) has a tremendous potential in healthcare and there are many ways AI can be used to treat patients more efficiently and accurately. Nevertheless, there are possible ethical issues and pitfalls that must be considered.

Image partially generated by DALL·E 2

Register for the digital event


The World Health Organization (WHO) released a report last that proposed six principles for the ethical use of AI in health. The principles are:

  • Protect autonomy
  • Promote human safety
  • Ensure transparency
  • Foster accountability
  • Ensure equity
  • Promote AI that is sustainable

In this Digital frukost event we will have a special focus on AI and responsible research and innovation in health with these principles in mind. We will start the event by giving you an introduction to the potential of AI in healthcare as well as some ethical dilemmas, before leading researchers will share how their own work that touch on these issues. At the end of the event there will be an open discussion moderated by Klas Pettersen, CEO of  NORA.AI.



09:00 - 09:02 WelcomeAnders Braarud Hanssen, Senior adviser responsible research and innovation (RRI), Centre for Digital Life Norway

9:02 - 09:15 Introduction to AI and RRI - Anis Yazidi, Professor at OsloMet. Leader of NordSTAR

09:15 - 09:30 Responsible research for biologically inspired artificial intelligence - challenges and approaches - Anders Malthe-Sørenssen, Professor at the University of Oslo. Director for Center for Computing in Science Education

09:30 - 09:45 Project presenting - Ira Haraldsen, MD, Psychiatrist at Oslo University Hospital. Leader of the AI-Mind project

09:45 - 10:00 Project presenting – Ingrid Johansen, Forsker II at NORCE. PI of the RE-AIMED project

10:00 - 10:30 Open discussion - moderated by Klas Pettersen, CEO at NORA.AI


About the seminars

"Digital Frukost" is an open breakfast seminar series focusing on research activities at the interface between the biological sciences and that of mathematics, computer science, physics or engineering. Examples of such research activities could be mathematical or computational modeling of biological systems, application of engineering/control systems theory on biological systems or inspired by biological systems, application of mathematics/statistics/machine learning to analyze big data in health or marine sector; from sensor systems, imaging or omics technologies etc. The seminar series also considers aspects of responsible research and innovation (RRI) of these research activities.


For questions, please reach out to:

Marta Eide Marta Eide, ​​​​​​​

Picture of Christoffer Hals Christoffer Hals,

Published Nov. 16, 2022 10:50 AM - Last modified Nov. 25, 2022 8:57 AM