Learning to See: True Colors (2020)

This project is part of the Learning to See series.

Learning to See is a series of works that use machine learning algorithms to reflect on how our own cognitive biases shape how we ‘see’ and make sense of the world.

The series includes a number of videos, as well as an interactive installation in which custom neural networks analyse a live camera feed pointing at a table covered in everyday objects, and attempt to reconstruct it in real time, drawing on their prior experience (i.e. training data) and knowledge (i.e. what is learned during training).

An artificial neural network looks out onto the world, and tries to make sense of what it is seeing. But it can only see through the filter of what it already knows.

Just like us.

Because we too, see things not as they are, but as we are.

The work is part of a broader line of inquiry about our cognitive biases, our inability to see the world from others’ point of view, and the resulting social and political polarization.

Made for #ValentinesDay2020.

Music “True Colors” by Cyndi Lauper

Series

More works in the Learning to See series.

Selected Exhibitions, Performances & Presentations(2 / 2)

Only selected shows with project pages are listed below. For more complete exhibition and performance history please see Show History.

Words(4 / 4)

The artist’s own writing about this work.

Press(54 / 54)

Articles, reviews and other press relating to this work.

Interviews(4 / 4)

Features(6 / 6)

Books(11 / 11)

Other Coverage(9 / 9)

News(6 / 6)

Academic Papers(18 / 18)

Collections(1 / 1)

Show History(16 / 16)

Group Exhibitions(16 / 16)

Details

Medium
HD Video. Duration: 1:00. Technique: Custom software, Artificial Intelligence, Machine Learning, Deep Learning, Generative Adversarial Networks.