Grayson Earle
The Male Gaze in the Machine #9, 2024
Instax print
Size: 7 x 8.5 cm
Unique
PRICE:
Print: 550.00 CHF
NFT: 0.5 ETH
For more information, please contact info@katevassgalerie.com
Description:
This series demonstrates how heteronormative male desire shapes the material conditions of computation. As part of a larger body of work exploring the male gaze embedded in machine learning models, this series specifically examines the algorithmic interpretation of the artist's desire. To achieve this, Earle created software that scraped the top 300 pornographic videos suggested to him by Pornhub's algorithms. These videos were deconstructed into individual frames and then used to train a neural network from scratch. The training process is displayed, revealing how the AI model "learns" to discern and reproduce the images it is fed.
The project showcases the intricate process by which machine learning models absorb and replicate the biases inherent in their training data. By using pornographic content as the basis for training, the series highlights the explicit ways in which male desire is codified into digital algorithms. As the AI model iterates and refines its output based on the provided frames, it becomes evident how such technologies can perpetuate patriarchy by reproducing problematic formal relationships between masculine and feminine forms.
The project also highlights how even logos present in the videos are learned by the algorithm, serving as artifacts that illustrate the pervasive influence of corporate branding on our libidinal desires and the digital landscapes they inhabit. This process underscores the intricate entanglement of commercial interests with personal and societal expressions, revealing the extent to which digital platforms shape and mediate our experiences of desire and identity.
Exhibited at POSITIONS Berlin Art Fair (September 2024)
The Male Gaze in the Machine #9, 2024
Instax print
Size: 7 x 8.5 cm
Unique
PRICE:
Print: 550.00 CHF
NFT: 0.5 ETH
For more information, please contact info@katevassgalerie.com
Description:
This series demonstrates how heteronormative male desire shapes the material conditions of computation. As part of a larger body of work exploring the male gaze embedded in machine learning models, this series specifically examines the algorithmic interpretation of the artist's desire. To achieve this, Earle created software that scraped the top 300 pornographic videos suggested to him by Pornhub's algorithms. These videos were deconstructed into individual frames and then used to train a neural network from scratch. The training process is displayed, revealing how the AI model "learns" to discern and reproduce the images it is fed.
The project showcases the intricate process by which machine learning models absorb and replicate the biases inherent in their training data. By using pornographic content as the basis for training, the series highlights the explicit ways in which male desire is codified into digital algorithms. As the AI model iterates and refines its output based on the provided frames, it becomes evident how such technologies can perpetuate patriarchy by reproducing problematic formal relationships between masculine and feminine forms.
The project also highlights how even logos present in the videos are learned by the algorithm, serving as artifacts that illustrate the pervasive influence of corporate branding on our libidinal desires and the digital landscapes they inhabit. This process underscores the intricate entanglement of commercial interests with personal and societal expressions, revealing the extent to which digital platforms shape and mediate our experiences of desire and identity.
Exhibited at POSITIONS Berlin Art Fair (September 2024)
The Male Gaze in the Machine #9, 2024
Instax print
Size: 7 x 8.5 cm
Unique
PRICE:
Print: 550.00 CHF
NFT: 0.5 ETH
For more information, please contact info@katevassgalerie.com
Description:
This series demonstrates how heteronormative male desire shapes the material conditions of computation. As part of a larger body of work exploring the male gaze embedded in machine learning models, this series specifically examines the algorithmic interpretation of the artist's desire. To achieve this, Earle created software that scraped the top 300 pornographic videos suggested to him by Pornhub's algorithms. These videos were deconstructed into individual frames and then used to train a neural network from scratch. The training process is displayed, revealing how the AI model "learns" to discern and reproduce the images it is fed.
The project showcases the intricate process by which machine learning models absorb and replicate the biases inherent in their training data. By using pornographic content as the basis for training, the series highlights the explicit ways in which male desire is codified into digital algorithms. As the AI model iterates and refines its output based on the provided frames, it becomes evident how such technologies can perpetuate patriarchy by reproducing problematic formal relationships between masculine and feminine forms.
The project also highlights how even logos present in the videos are learned by the algorithm, serving as artifacts that illustrate the pervasive influence of corporate branding on our libidinal desires and the digital landscapes they inhabit. This process underscores the intricate entanglement of commercial interests with personal and societal expressions, revealing the extent to which digital platforms shape and mediate our experiences of desire and identity.
Exhibited at POSITIONS Berlin Art Fair (September 2024)