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Artist Meet-up: Lily McCraith & S. Polak – AI in the Context of Nature
November 19, 2021 @ 18:00
Livestreaming, Updated Time (due COVID): Friday 19 November 2021 at 18:00 CET
Lily McCraith is a London-based designer, researcher and creative technologist working around the realms of artificial intelligence, computing, and design. Currently, she is in Prague for her residency at the Research and Innovation Centre on Advanced Industrial Production (RICAIP) hosted and coordinated by CIIRC CTU as a fellow of the Goethe-Institut‘s Artificial Intelligence Residency Programme – “AI Residencies”.
During her stay, she aims to exploit the potential of artificial intelligence in the context of its influence on our planet, exploring its role in tackling global problems while critically assessing its energy burden at the same time.
The interview will be live-streamed on YouTube and at the Parallel polis café, followed by a brief meet up with Lily McCraith. Covid measures are in place – tests are compulsory and cost 100 CZK per person.
The meet-up is also an informal kick-off of “Rhizomes: AI & nature”, a new interview series produced by Haenke, pAIoneers, and Paralelní polis that explores the relationship between AI and nature through the work of artists, scientists, entrepreneurs and other creative practitioners.
The event is supported by Goethe-Institut Prag in cooperation with the RICAIP Centre and CIIRC CTU.
Lily McCraith is a London-based designer, researcher and creative technologist working across technologies and disciplines. Her work investigates systems, infrastructures and ecologies via active methods of research, enquiry and collaboration. She has a background in computing and design which she studied at Goldsmiths College, University of London. She combines both disciplines in her practice, using many different media and tools such as code, performance, film, augmented reality, 3D modelling and simulation, 3D printing, electronics and artificial neural networks. Lily McCraith has completed several works with machine learning-based text generators.