MYPOCKET raises questions about how predictive technologies, particularly those that use our personal data, shape our choices through the assumptions they feed us. Custom software, written by the artist, predicted his potential (and catalogued his actual) spending patterns for a two-year period. The Transactions Feed publicly posts each of these economic interactions along with the percentage of transactions accurately predicted. The Transactions Graph visualises data corresponding to the time of each transaction demonstrating relationships between them. A collection of original marked receipts of correctly predicted transactions, or ‘predicted objects’, bears witness to the system’s accuracy.
The work provides a revelatory self-portrait, exposing how much we divulge about ourselves through our own consumer choices, the trails of data we create, and their potential value to others.
Courtesy of the artist. MYPOCKET is a 2007 commission of New Radio and Performing Arts, Inc., (aka Ether-Ore) for its Turbulence web site. It was made possible with funding from the Jerome Foundation.
Animation; custom software; list of predictions; RSS feed; receipts. Dimensions and duration variable
The New Observatory
June 2017 – October 2017 at FACT, Liverpool
Identifiable, Metadata, Object, Personal, Retrieved, Shared, Temporal
Burak Arikan is a New York and Istanbul based artist who works with complex networks. He investigates societal issues and develops his findings into abstract machinery, which generates network maps and algorithmic interfaces, results in performances,…