Biases can creep into any data set, and these can cause trouble when this data is used to train an AI model. Alf Rehn, Professor of Innovation, Design, and Management at the University of Southern Denmark, joins Andy Thurai and Stephen Foskett to discuss the lessons he has learned about algorithmic bias based on his work with the Velux Foundations Algorithms, Data and Democracy project. Society is directing artificial intelligence to solving some problems and ignoring others, and this can create biases as surely as data selection in model training. Can we ever truly eliminate bias? If not how do we work against it? Can we keep the genie in the bottle even if we want to? And can machines ever make sound, ethical subjective decisions?

Guests and Hosts

• Alf Rehn, Professor of Innovation, Design and Management at the University of Southern Denmark. Find Alf on Twitter as @AlfRehn or at AlfRehn.com
• Andy Thurai, technology influencer and thought leader. Find Andy’s content at theFieldCTO.com and on Twitter at @AndyThurai
• Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett

Date: 2/23/2021 Tags: @SFoskett, @AndyThurai, @AlfRehn