Group chief data scientist, leading a data analysis and visualization team tasked with inspiring and supporting the business to work in a more data-driven way. Involved in the creation of an AI Agenda for Sweden driven by RISE, coordinator for the working group focused on industrial applications of AI in Sweden. Member of the Swedish AI Council.
Senior advisor at Apparata AB.
Previous experience within SEB: Head of Counterparty Risk Modeling. Portfolio risk manager at Investment Strategy, a part of SEB Private banking. Team head and Portfolio manager in the Index&Solutions team at SEB Investment Management Ab in Stockholm, Sweden. Risk analyst within Wealth managements' risk control group. Prior to SEB I worked with both investment analysis and programming for a hedge fund in Stockholm. PhD in mathematics, studies in economics and finance. Doctoral thesis in several complex variables. Eight years experience in university level teaching in mathematics.
Popular science speaker, I enjoy adapting the level of detail to the audience.
Ethical implementations of AI systems in an organization
As we build and evolve AI systems we need to be mindful of the potential ethical implications of them. We will focus on some specific use cases for AI systems and discuss ways to define, set up and monitor some of the ethical aspects. Topics such as fairness, robustness and transparency will be discussed and problematized based on the use cases. The aim of the talk is to give some concrete understanding of potential pitfalls and also to shed some light on why it is easy to build stupid AI and far more complex to build truly smart AI systems.