All Utilizing AI

Algorithmic Bias and Subjective Decision Making with Alf Rehn | Utilizing AI: 2×08

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

For your weekly dose of Utilizing AI, subscribe to our podcast on your favorite podcast app through Anchor FM and watch more Utilizing AI podcast videos on the dedicated website

About the author

Stephen Foskett

Stephen Foskett is an active participant in the world of enterprise information technology, currently focusing on enterprise storage, server virtualization, networking, and cloud computing. He organizes the popular Tech Field Day event series for Gestalt IT and runs Foskett Services. A long-time voice in the storage industry, Stephen has authored numerous articles for industry publications, and is a popular presenter at industry events. He can be found online at,, and on Twitter at @SFoskett.

Leave a Comment