GRAYSON EARLE
Grayson Earle’s diverse technological practice is unified by a political approach to media making. Employing video games, video projection, algorithmic audiovisual generation, biological organisms, and robotics, his work tends to intervene on physical spaces and entrenched ideas. His creative practice articulates a re-positioning of resistance to power that invites participation from reluctant citizens.
Earle (b. 1987) lives and works in Brooklyn, NY. For the 2018-2019 academic year, he is a Visiting Assistant Professor at Oberlin College in the Studio Art department. He previously taught at Hunter College, split between the Computer Science, Film and Media, Integrated Media Arts, and Studio Art MFA programs, and at New York City College of Technology in the Entertainment Technology department. This interdisciplinary posture is emblematic to his work as an artist, and is an approach he proselytizes in his courses on game programming, electronics, and generative art.
Recent displays of his work include SeoulArts in South Korea; Eastern Bloc and Centre Phi in Montreal; the Brooklyn Museum, Macy Gallery, and Babycastles in New York City; and the Media Arts Festival in Tokyo. He has published essays on the socioeconomic implications of the Cold War on abstract expressionism in the United States and Russia, as well as new methods for rhetorical approaches in video games.
The Male Gaze in the Machine #17, 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 #16, 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 #15, 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 #14, 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 #13, 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 #12, 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 #11, 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 #10, 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 #8, 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 #7, 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 #6, 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 #5, 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 #4, 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 #3, 2024
Instax print
Size: 7 x 8.5 cm
Unique
For more information, please contact info@katevassgalerie.com
PRICE:
Print: 550.00 CHF
NFT: 0.5 ETH
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 #2, 2024
Instax print
Size: 7 x 8.5 cm
Unique
For more information, please contact info@katevassgalerie.com
PRICE:
Print: 550.00 CHF
NFT: 0.5 ETH
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 #1, 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, 2024
Video work - 3 Chapters
Unique (each)
PRICE: 3 ETH (each)
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)
Bail Bloc, 2018
Bail Bloc custom printed USB keychain
Exhibited at “Perfect and Priceless” show, Zürich, Kate Vass Galerie, 2018-2019
Description:
Bail Bloc is a distributed software project that utilizes the computing power of volunteer computers to mine a cryptocurrency known as Monero. This Monero is exchanged for US dollars and given to bail funds to release people from pre-trial detention around the United States.
Edition of 20 Bail Bloc custom printed USB keychains. Each Bail Bloc USB has a screenprinted design in black and red, and a functioning USB disk that “flips out” after rotating the top. The USBs have the Bail Bloc software pre-installed.
The Male Gaze in the Machine #18, 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)