Amy Smith

If there were to be a tagline for this project, it would be: ‘The AI that helps us play in our imagination!’

This project is focused on the intersection between 'imaginative play', computational creativity and generative deep learning. The research explores whether the kind of novel text, image and video media produced by generative deep learning algorithms can be used to provoke and stimulate the imaginative, ideation and visualization capabilities of the user as they interact with a support tool that integrates this output.

After completing a BA in Fine Art, at Bath School of Art and Design, Amy spent some years as a tattoo artist travelling and creating artworks. A curious foray into a free online Python coding course then led her to complete a conversion Masters degree in Computer Science at the University of Birmingham. Keen to preserve her interests in both a creative practice as well as a new interest in generative deep learning, Amy joined the IGGI programme to explore these interests further under the guidance of Prof. Simon Colton.

Her work has been accepted to both the EvoMusArt and ICCC conferences, and she hopes to further encourage and explore the fruits of a close collaboration between creative AI and human creativity.