Cathrine BuiCathrine helps organizations understand the ethical risks of AI and ensures that algorithms perform as intended without biases from data noise. She combines her past experience leading the EQUALS Research Coalition on digital gender equality + technical background in computer science = to bridge the gap between tech engineers and social science for more Responsible AI. She has written a master’s thesis on gender bias in AI at the University of Oslo, which won the Best Scientific Poster Award at the 2021 NORA Conference.With her research-based expertise on AI ethics, Cathrine has helped DNB Bank, the biggest financial institution in the Nordics, develop algorithmic impact assessments and prepare for the upcoming EU AI Act regulations. Cathrine is a member of NORDE, Norwegian Council for Digital Ethics, and on the board of Protocols of AI Security IEEE; a global initiative to set up a new research center to improve AI safety.

Claus RaastedClaus is the Director of The College of Extraordinary Experiences. Coach at McKinsey. Ruby Hunter. Hologram Hawker. Playfulness Preacher. Experience Design Pioneer. Keynote Speaker. Event Designer. Author of 34 books. With more than a thousand talks, workshops, etc to his name, Claus Raasted has been called “a cross between Thor, Mick Jagger, and Lady Gaga”. He also has a past in reality TV, but these days, who hasn't?

Brian MacdonaldHead of AI and Digital Products at Lynk
Brian is the Head of AI and Digital Products at Lynk, the augmented knowledge management and expertise discovery platform. He has more than two decades of experience creating analytic and data-driven products at Oracle, IBM, and leading Canadian AI start-ups in agriculture and renewable energy. In addition to building the first machine learning-based integrated applications at Oracle with the AI Apps for ERP cloud service, Brian played an integral role in bringing self-service analytics and data discovery products to market through the Oracle Analytics Cloud offering. Brian is a leader who recognizes that innovation emerges when the core elements of product management, design, and data science come together to solve real-world problems.