This workshop co-developed by artists and creative technologists Avner Peled (IL/FI) and Shirin Anlen (IL) and Ars Electronica based on their ongoing project “Marrow” tackles our role in shaping the development and programming of artificial neural networks. It focuses on how the data used to train neural networks is selected, collected, and curated based on what we need a specific model to do and how the nature of this process may shape the outcome. This workshop aims to demystify the functioning of AI models and focuses on what happens behind the scenes.
https://dataset.tools/
https://latentspace.tools/
Credits
This workshop was co-developed by artists and creative technologists Avner Peled (IL/FI) and shirin anlen (IL/ US), and Ars Electronica based on their ongoing project “Marrow”, a project that explores our role in shaping artificial neural networks and their possible mental state. It’s an introduction workshop to machine learning concepts. The workshop will focus on how the visual data is selected, collected, and curated when training a neural network. Every step of this process shapes the final outcome of the machine learning model. This workshop explicitly explores Generative machine learning models and focuses on what happens behind the scenes.
This workshop is presented in the framework of the European ARTificial Intelligence Lab, which is co-funded by the Creative Europe Program of the European Union and the Austrian Federal Ministry for Arts, Culture, Civil Service and Sport
The workshop was developed in the framework of the Horizon 2020 programme of the European Union under the S+T+ARTS programme’s Regional STARTS Centers, which was co-funded by the European Commission’s DG CONNECT.