Non discrimination by design |

In development

This project is commissioned by the Dutch Ministry of Interior and Kingdom relations.

A guideline to make organizations and programmers aware of the danger of biases in Artificial and Machine learning systems and minimize discrimination in algorithmic decision making.

 

Research and content by: Bart van der Sloot (Tilburg University), Esther Keymolen (Tilburg University), Merel Noorman (Tilburg University), The Netherlands Institute for Human Rights, Hilde Weerts (Eindhoven University of Technology), Yvette Wagensveld (Tilburg University), Bram Visser (Vrije Universiteit Brussel).

 

Concept, book design, and artwork by Julia Janssen

 

This publication will be launched soon. Links will follow!

Design concept

Design Elements

Phase 1

Bias and discrimination in Artificial Intelligence is a big problem. In 2017 I was invited to talk about this topic with one of the most prominent critics on this topic; Cathy O'Neil, writer of Weapons of Math Destruction. If you haven't read it yet, it's an excellent and accessible book about how people in power positions use algorithms to make crucial decisions. O'Neil writes about the danger in this; if the algorithm has a bias, a specific definition of success or the data is not representative. It will make a discriminative of a simply wrong decision. This can have a significant influence on people's life.

Design principles in movement

More

The HyperClick Podcast

3 // Cathy O'Neil – Victims of Algorithms

2017 | PANEL

Julia Janssen participated in a panel debate about Unfair Algorithms with Cathy O'Neil, Astrid Oostenbrug, Mirko Tobias Schäfer and Bart Jacobs

Reading tips

Weapons of Math Destruction |Cathy O'Neil

Studio Julia Janssen

is based at The Wheelshouse

 

Achtergracht 17-19,

1017 WL Amsterdam

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Big data and privacy expert Bart van der Sloot empaneled an interdisciplinary team of lawyers and scientists to work on the principles of ethics of Ai – commissioned by the Dutch Government.

 

Julia Janssen translated the research and principles into a visual identity and publication.

Bias and discrimination in Artificial Intelligence is a big problem. In 2017 I was invited to talk about this topic with one of the most prominent critics on this topic; Cathy O'Neil, writer of Weapons of Math Destruction. If you haven't read it yet, it's an excellent and accessible book about how people in power positions use algorithms to make crucial decisions. O'Neil writes about the danger in this; if the algorithm has a bias, a specific definition of success or the data is not representative. It will make a discriminative of a simply wrong decision. This can have a significant influence on people's life.

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