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<\/a>Pisanty records the sound of a subway train in Mexico City<\/p><\/div>\n
<\/a>One of the frames from the video generated by the Blind Camera’s ANN<\/p><\/div>\n
Pisanty said that developing the AI with bespoke training data rather than using an existing model provided flexibility and control to trigger certain image aesthetics based on his artistic intent.<\/p>\n
The resulting ‘photo’ was indexical of the surrounding soundscape, not the scene in front of the camera.<\/p>\n
“The code is as much an artwork as the object and its resulting images,” he stated.<\/p>\n
“The process of producing Blind Camera’s code prompted reflection about how AI written by artists would work and how it could differ from currently available models.”<\/p>\n
Pisanty said because of the ANN’s limited source data, the results were intentionally biased to interpret the world from a local [Mexico City] perspective.<\/p>\n
“The Blind Camera will therefore produce images matching its Mexican identity,” Pisanty stated.<\/p>\n
He explained because the ANN was only trained in the city, using it in areas like a park filled with trees and grass would still produce a city-like image.<\/p>\n
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