#5 Spectres of AI
Artificial intelligence (AI) is arguably the new spectre of digital cultures. By filtering information out of existing data, it determines the way we see the world and how the world sees us. Yet the vision algorithms have of our future is built on our past. What we teach these algorithms ultimately reflects back on us and it is therefore no surprise when artificial intelligence starts to classify on the basis of race, class and gender. By imposing identity on input data, in order to filter, that is to discriminate signals from noise, machine learning algorithms invoke a ghost story that works at two levels. First, it proposes that there is a reality that is not this one, and that is beyond our reach; to consider this reality can be unnerving. Second, the ghost story is about the horror of the past – its ambitions, materiality and promises – returning compulsively and taking on a present form because of something that went terribly wrong in the passage between one conception of reality and the next.
Contents
#5 Spectres of AI
S. 1-4
How a Machine Learns and Fails
S. 1-17
Artificial Intelligibility and Proxy Error
S. 1-6
Technologies of Power - From Area Studies to Data Science
S. 1-13
An Agenda for Decolonizing Data Science
S. 1-6
AI and the Imagination to Overcome Difference
S. 1-12
The Difference that Difference Makes
S. 1-6
Restorative Justice in Artificial Intelligence Crimes
S. 1-18
The Electric Kool-Aid Turing Test
S. 1-12
Micropolitics of a Recommender System – Source Code
S. 1-8
Micropolitics of a Recommender System – Machine Learning and the Machinic Unconscious
S. 1-9
The Disruptions of Neutral Machine Translation
S. 1-10
Galton's Utopia
S. 1-16
"Das hätte nicht passieren dürfen"
S. 1-4
Automating Creativity
S. 1-9
Documentary: Automating Creativity
Insectile Indices
S. 1-8