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ARS ELECTRONICA ARCHIVE – AI LAB

The European ARTificial Intelligence Lab (AI Lab) is a follow-up project to the European Digital Art and Science Network, a creative collaboration between scientific institutions, Ars Electronica and cultural partners throughout Europe that unites science and digital art. The European ARTificial Intelligence Lab follows on from this and addresses visions, expectations and fears that we associate with artificial intelligence. The consortium consists of 13 cultural institutions from Europe with Ars Electronica as coordinator. This online archive provides an overview of all activities carried out during the project's lifetime from 2018 to 2021. It also provides information about the network itself, the residency artists and juries, and the project partners involved. The AI Lab is co-funded by the EU program "Creative Europe (2014-2020)" and by the Federal Ministry of Arts, Culture, Civil Service and Sport.

Conferences/Symposien 2020

Random Seed: Using Gardening as a Metaphor for Machine Learning in a Creative Practise - Artist talk at Ars Electronica

AI Lab Artists-in-Residence Anna Ridler and Caroline Sinders, together with scientists from Edinburgh University’s Futures Institute, will discuss how the language, imagery and practicalities of gardening can be used to better understand the use of AI and machine learning in a creative practice, by covering issues such as labour, creativity and what it means to own something that is grown.
Links
Talk Website: https://ars.electronica.art/keplersgardens/en/random-seed/

Start:
Sep 09, 2020
End:
Sep 10, 2020

Info:
Random Seed: Using Gardening as a Metaphor for Machine Learning in a Creative Practise
Artist talk
Online
09.09.2020–10.09.2020
Anna Ridler (UK), Caroline Sinders (US), Oisin Mac Aodha (IE)
Cross reference
Ars Electronica, Anna Ridler (UK), Caroline Sinders (US), Oisin Mac Aodha (IE)
Biographies Speaker
Anna Ridler (b. 1985, UK) is an artist and researcher. She has exhibited at institutions such as the V&A Museum, Ars Electronica, HeK Basel, Impakt and the Barbican Centre, and has degrees from the Royal College of Art, Oxford University and University of Arts London. She was a 2018 EMAP fellow and listed by Artnet as one of nine “pioneering artists” exploring AI’s creative potential. She is interested in working with collections of information, particularly self-generated data sets, to create new and unusual narratives in a variety of mediums, and explore what happens when things cannot fit into discrete categories. She is currently interested in the intersection of machine learning and nature, and what we can learn from history.

Caroline Sinders (b. 1987, US) is a machine learning researcher and artist obsessed with language, culture and images. Her work explores the intersections between natural language processing, artificial intelligence, abuse, online harassment, and politics in digital, conversational spaces. Her work has been featured in the V&A Museum, MoMA Ps1, the Modern Art Museum of Bologna, Ars Electronica, and others. She is the founder of Convocation Design + Research, an agency focusing on the use of machine learning and design for public good.