Tag Archives: AI

Weronika Pawlak

MA Photography The Image & Electronic Arts

Safe Space

“Safe Space” is a combination of analogue portraits and images of landscapes created by the AI  algorithm gauGAN. The algorithm generates images based on drawings which I made listening to the young people describing spaces that make them feel safe and relaxed. 


The work was created as an attempt to understand human’s longing for a safe space that is often imagined as an ideal space, free from self-doubts and fears. After the past year, I had a lot of thoughts about escaping the situation in which we all found ourselves. Making “Safe Space” I was thinking about how we, as humans, deal with the necessity of feeling safe. My interlocutors often admit that sometimes a safe space means a very specific place for them, for instance, a secluded place, surrounded by trees and flowers. Sometimes they could find a safe space in daily life, within the city. The imagined places seem to be at the same attainable and unrealistic. The unrealistic human desire connects with an uncanny AI representation of the landscapes, which is a way to materialize and personalise these spaces. 


The landscapes generated by gauGan are combined with analogue portraits. The composition of a picture refers to classical XIX century paintings, which often showed a person with a landscape as a background. A melancholic, romantic atmosphere of longing for something combines with an unrealistic image created by the algorithm. Since the stereotypical thinking about AI is that it can create something in a better way than humans, I found the outcome, full of glitches and unrealistic shapes, quite comic. Because of its imperfection, it reminds me somehow of a human’s way of feeling.

THE PROCESS – PART I

I asked people to describe a landscape that could work as their „safe space”. Listening to their audio recordings, I drew a series of landscapes using an AI algorithm GauGAN.

THE PROCESS – PART II
The series of analogue photographs combine people and their AI landscapes. 

About Weronika

Weronika Pawlak is a visual artist and musician, born in Warsaw, Poland. Currently working on finishing MA in Photography: The Image
& Electronic Arts at Goldsmiths, University of London. She works with photography, video, installation and music. She often explores
some of the themes related to the relation between humans and nature, the post-capitalist world and escapism.

 

Lucy Mudel

MA Digital Media – Image Making

biomorphic syntheses

biomorphic syntheses is created as a collaboration between the human image maker and machine learning image synthesis programs by training generative adversarial networks, including both styleGAN and artGAN. Renderings from these models are then used as assets in animation, reviving inanimate form to bring the appearance of life.

 

The project’s intention is to provoke a dialogue on how image makers can use digital programs as tools to enhance their artistic practice; as well as intending to illuminate the necessity of the creator’s input to generate the models themselves and new imagery.  At the beginning of the animation, one can see the actual visual outputs of the first steps of the artGAN learning what “surrealism” looks like. This work focuses on the idea of questioning organic design, concepts of novel being, animism, and interconnectedness of carbon systems in the forest mycorrhizal network as well as the digital network. This work creates a dialogue on carbon and pixel transfer, in both an environmental sense, data storage, and archiving.

 

This work is presented in a square format as both the styleGAN and artGAN output new images from transferred pixels of the inputted datasets using vector based square ratios. Deep learning systems also require a large amount of storage, subsequently requiring a great deal of energy. Presently this work has collectively required approximately 15 GB of storage. While it is difficult to measure the environmental impact of small scale deep learning models, training a single deep learning model can emit thousands of pounds of CO2 emissions.

About Lucy Mudel

Lucy is a multidisciplinary artist working in photography, animation, film, painting, metals and sound. Some of the themes her work often explores relate to mental states, surrealism, psychology, nature, folklore and mysticism. Lucy graduated with a bachelor’s of science in Psychology, with particular focus on mental health, perception, wildlife conservation, virtual reality, as well as human and nonhuman behavior.

 

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Nathalie Combes

MA Digital Media – Critical Computing

Data Perception

Data Perception’s purpose is to question our perception of data and our understanding of intelligence within computers, technology, and Artificial Intelligence. By gathering data and questioning our perceptions of truths, the project will try to give a useful lesson to the visitors of the exhibition. 

About Nathalie 

Nathalie is a French/American creative based in London. She previously studied Design at UAL and is currently finishing her Master’s Degree in Digital Media – Critical Computing at Goldsmiths University. Interested in the role of technology within society, she tried to explore how data capitalism occurs as well as the perception of intelligence within computers, Artificial Intelligence and technology.

Personal Email: combesnathalie@gmail.com

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Elisa Mazzuca

MA Digital Media - Image Making

Poiesis

Poiesis is a project exploring the deep connection between music and visual communication. Music surrounds us and accompanies us in a lot of different ways every day, yet album covers seem to be an underrated part of musical products. Designing the artwork for an album cover is a delicate and complex process that is often forgotten or neglected.

Poiesis offers a new way of analyzing and creating album art, merging different practices such as graphic design, animation and machine learning. It is a project that aims to improve and help both the design and the music industry.

The word Poiesis itself comes from ancient greek and its meaning is to generate something new that didn’t exist before. Through the fusion of different album art archives, the core of the project is composed by an artificial intelligence trained to produce different kinds of pictures.

The project is hosted on a website that allows users to complete a form selecting musical genre and mood. The machine elaboates the answers and generates a new album art every time.

Try it yourself and give your albums new unique covers! http://poiesisproject.com/

About Elisa

Elisa Mazzuca is an Italian creative currently based in London, UK, where she is completing her master in Digital Media. Graduated from Florence in Graphic Design, Elisa works with a wide ran- ge of mediums, often merging graphic design, photography, illustration and animation. Her criti- cal research is focused on the impact of visual communication on different aspects of daily life.

 

Website: https://elisamazzuca.net/
Instagram: https://www.instagram.com/___elisart/