Nordic Edge

Trustworthy AI: How can Trustworthy AI give you a competitive advantage?

How can trustworthy AI provide your company with a competitive advantage? And what are the risks of not leveraging AI due to the lack of trust?

Artificial intelligence has come out of nowhere for a lot of companies, requiring new methods and new ways of thinking.

This is a critical time, where keeping up with the change is essential if you want to keep a competitive advantage in the market.

During this event you will get a better understanding of what Trustworthy AI is, and how it can help you improve your business, become more efficient and eventually make more money.


The event promises an insightful programme that provides various perspectives on Trustworthy AI, how it can be used to create a business advantage, increase efficiency and grow your business.

14:00-14:15: Arrival and mingling

14:15-14:25: Welcome and introduction by Nordic Edge, Pedab and IBM

14:25-14:45: Alex Moltzau from NORA sets the stage

14:45-15:00: “Assurance of AI-enabled systems” by Christian Agrell, Principal Scientist at DNV Group Research and Development

15:00-15:15: “Revolutionizing Efficiency, Innovation, and Decision-Making” by Kim Paananen, Sales Manager at ABP Consultancy

15:15-15:30: “Gaining a competitive advantage through governed AI” by Hans Petter Dalen, AI Governance Leader for EMEA at IBM

15:30-15:40: Break

15:40-16:30: Panel discussion and Q&A from the audience

  • Moderator: Abbey Lin, founding member of
  • Pål Hetland, Bureau Chief at Pronto AI
  • Lars Rinnan, CEO of Amesto Nextbridge
  • Michael Velle-George, Head of Customer Analytics at Fremtind
  • Christopher Wilson, Researcher at the University of Oslo
  • Alexandra Kleinitz Schultz, Adviser at Digdir

16:30-19:00: Afterwork with food and drinks

The event is free, but requires registration HERE

What is Trustworthy AI?

Trustworthy AI is a new way of thinking about artificial intelligence that aims to address the flaws of an older approach called Explainable AI. Explainable AI was developed to create machine learning models that could explain how they arrived at their decisions, but it was criticized for being too technical and not considering the impact of AI on society.

The problem with Explainable AI is that it assumed that transparency and interpretability were always good things, but this is not always the case. Sometimes, being too transparent about how a system works can actually make it easier for people to exploit or copy it. Conversely, if a system is completely opaque, it can erode trust and even endanger human life.

Trustworthy AI aims to take a more holistic approach to these issues, considering not only technical factors but also the impact of AI on society as a whole. By doing so, it aims to create AI that is more ethical and beneficial for everyone.

The EU have defined 7 key criteria for Trustworthy AI:

  1. Human Agency and Oversight
  2. Technical Robustness & Safety
  3. Privacy & Data Governance
  4. Transparancy
  5. Societal & Environmental Well-being
  6. Accountability
  7. Diversity, Non-discrimination & Fairness


Read more

Lars Rinnan is a visionary CEO, angel investor, board member, public speaker and futurist from Oslo, Norway. Lars has more than 25 years management experience and has started 6 companies within business analytics and artificial intelligence, all joined together in Amesto NextBridge.





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