Objects

Tags

Medium

Palantir
Uber
Airbnb
Alexa
(0 machines match the selected filters)
Introduction
Life-DynamicOntology machine
Stack-Tools-Analyst machine
Analyst-Thunderbird-LosAngeles machine
Precursors: Encapsulation 1770 / 1939
A machine for maximizing casualties
A machine for fooling another machine
A machine for dreaming up new anxieties
A machine for dreaming up new terrors
Partner-Management-Messaging machine
ViolentFlesh-Passenger machine
Capital-CashBurning machine
A machine for trapping objects / triggering errors
A machine for iterating an accident
A machine that will never complete
DomesticArchitecture-BookingAppeal machine
DynamicPricing-Microneighbourhood machine
Skin-Soil-Xeon machine
Precursors: Excavation 1763 / 1973
A machine for reducing risk
A machine for dying in
A machine for sorting skin
A machine for sonifying toxic space
Microphone-Alexa-LivingRoom machine
Skills-Speech-Memory machine
Alexa-AmazonWebServices machine
Personality-TTS machine
Precursors: Enchantment 1890-1940
A machine for witnessing and recounting a crime
A machine for capturing domestic data
Conclusion
References
Appendix

Dark Matter is a PhD project examining power through the lens of the algorithmic.

It examines four contemporary algorithmic objects:
Palantir, Uber, Airbnb and Amazon Alexa.

A theoretical strand unravels these objects, examining
how they exert force on subjects and spaces.

A practice-based strand creates new algorithmic artworks,
critiquing logics and speculating on alternatives.

[ To explore by media or theme, use the filters on the left. ]

[ Early writing here is superceded by final PDF ]