Learning the features of data and simplifying data representations with the purpose of finding patterns is in deep learning what brings the dimensionality of the image to first be reduced before it is ultimately increased.

After a lossy compression, the model is required to store all the relevant information in order to be able to reconstruct the compressed data.

This ‘compressed state’ is the Latent Space Representation of our data. The hidden to us information of the representation of the n-dimensional point we are not able to imagine because limited to the 4 physical dimensions, 3 for space and 1 for time.

This hidden space is what we would like to represent giving a physical disposition to the pictures created by the algorithm. People would walk through this multidimensional space created by displaying many of the iterations printed on transparent film, while entering with their body into a space their mind cannot yet conceive.

We believe it was a first attempt to allow people closer to something of yet not easy access, an insight into the algorithm, so much present in our everyday lives, but still so much obscure to our consciousness.

These 5 months with AI and theatrical design have been a challenging and fun one. The application of AI to different aspects of our lives is just the beginning, the technology will continue to evolve. Like it or not there weren’t many things we could do to stop this trend. To move beyond the almost cliché yet discussion of ethics in AI, as artists and researchers we do need more understanding of what these tools are able to do, and also figure out a way for the public to understand them. The installation we created is one such attempt. We will continue to explore the possibilities of working with these tools and different archives.

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