Subjective Data and Creative Taxonomies

Subjective Data and Creative Taxonomies

Date: 
03.02.2019 12:00
Festival edition: 
2019
Format: 
Workshop
Location: 
K2

Subjective data means the deconstruction of how we work with data in machine learning. This entails exploring several areas that are typically taken for granted: how we collect data, the taxonomies we use, the models that are eventually created using machine learning algorithms, the subjectivity and biases in existing datasets, how we can model data responsibly, how to use datasets as an artistic medium, and how to talk about and address bias. The workshop will begin with a presentation by Hannah Davis after which participants will carry out an exercise in creating taxonomies and data labeling.

Participants need to bring their laptops for the workshop.

share

Related participants: 
Related texts: