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100% Chair: Designing For Algorithmic Landscape

In a near future where humans, robots and smart algorithms live, play, learn and work together, Radical Norms explores design processes that consider Artificial Intelligence (A.I.) as a stakeholder. Radical Norms design to prob A.I. perspective, looking to learn how it understands the human world through artifacts and objects.

What do we humans need to change in order to adapt to such new environments?

Based on a database of 9 million images classified by people around the world, a machine can predict to a high degree of accuracy, what exactly the objects are that appear in their sight. The prediction rate – the measurement that determines the object identification – varies between 0% to 100%. In this world, a chair exists on a scale of 0-100% accuracy. Therefore, a chair can be classified as part chair and part something (anything) else.

In this 1st project we looked at new types of chair taxonomies designed for the “eyes” of an Artificial Intelligence system. Each one of the chairs suggests different relationships with the A.I.’s ‘worldview/perception’ – one accommodates it (50% accuracy), one impresses it (100% accuracy) and one avoids it (0%).

The design is based on a series of workshops in which the A.I. and Radical Norms collaborate to identify these relationships. The designers go through an iterative process of prototyping forms, functions, materiality and contexts that might satisfy or match the wanted rates of the A.I. predictions – in this case: 0%, 50%, 100%. As soon as the A.I. identifies those rates – a finalized chair is produced.

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Fri, Jan 18, 2019 — Sun, Jan 27, 2019


Window Installations



Location Accessible


1010 Queen Street West



Opening Reception: Wed, Jan 23, 5-7pm


Radical Norms (Daniel Daam-Rossi, Angelika Seeschaaf Veres, Koby Barhad)