arrangeres av DND og resten av fagfolkene fra faggruppen DAMA (Data Management Association - Norway Chapter)
The seminar will be packed with interesting content, including a morning session with speakers covering relevant topics. There will be a showing of the thought-provoking documentary film iHuman by Tonje Hessen Schei, followed by a panel debate lead by Torgeir Waterhouse.
After the panel, DNB will be coordinating a series of working groups in the afternoon involving major actors in the public/private sector, government, and academia in Norway; to establish a coordinated strategy on responsible use of Data and AI. The outcome from the working groups will be available to all participants of the seminar upon request.
9:00 – Welcome by Aidan Millar, DNB and Lars Erik Fjørtoft, PWC
9:10 – Talks (Part 1):
Algorithmic Harm and the Question of Legitimacy and Trust – by Tereza Kuldova, OsloMet
What is the value of AI if we cannot trust it? – by Rebecca Wiborg Seyfarth, Cognite
AI regulations vs. self regulation – lessons learned from insurance – by Lars Erlend Leganger, PWC
What does responsible AI mean and how do we work with it at NAV? – by Cathrine Pihl Lyngstad, NAV
10:10 – Break
10:20 – Talks (Part 2):
DNBs commitment to innovate responsibly – by Rasmus Figenschow (DNB Executive Vicepresident)
Presentation of Stanford Initiative on Responsible Digital Leadership – by Soren Juul Jørgensen, Stanford
How to explain AI models? – A comparison of the LIME and Shapley – by Kjersti Aas, NR
Existing resources on responsible use of data and AI – by Ellen-Marie Forsberg, Østfoldforskning
Trustworthy Industrial AI Systems – by Asun Lera St.Clair, DNVGL
11:20 – Lunch
12:00 – Screening of iHuman + Q&A session with director Tonje Hessen Schei
13:40 – Break
13:50 – Panel Debate led by Torgeir Waterhouse
15:00 – Working groups for a cross-sectorial strategy in responsible use of data and AI (closed event).
We are using Mingl before, during and after the seminar to connect all participants and share content.
You will receive a separate email with your login details to your Mingl profile before the event. Read more about Mingl HERE