La sexualidad del rostro: revelación artificial y desprogramación material

The paper proposes, from a gender perspective, a semiotic analysis of the performativity of computer vision in the Digital Age. Starting from a dialogue between the research in Artificial Intelligence Deep neural networks are more accurate than humans at detecting sexual orientation from facial images, by Michal Kosinski and Yilun Wang from Stanford University and the exhibition Sex, image and algorithms: homosexual data, by Chilean artist Felipe Rivas San Martín, it seeks to reflect on the current process of algorithmization of sexuality and gender identity and to mattify the transparent and revealing rhetoric of artificial intelligence through artistic practice.