Studio Julia Janssen

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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 will be responsible of the artistic translation of these 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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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 Freedomlab Campus –coworking space for Technology & Innovation

 

Plantage Middenlaan 62

1018DH 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 will be responsible of the artistic translation of these 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.