race
TPG
2020-07
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Research paper: https://arxiv.org/pdf/2003.03808.pdf Tester: …
Perhaps most notoriously, a few years ago, AI researchers Xiaolin Wu and Xi Zhang claimed to have trained an algorithm to identify criminals based on the shape of their faces, with an accuracy of …
Hikvision has marketed an AI camera that automatically identifies Uyghurs, on its China website, only covering it up days ago after IPVM questioned them on it. This AI technology allows the PRC to …
TPG
2019-10
Ramon Amaro introduces the basics of machine learning, its criteria for assigning value, the collision between blackness and the artificial, its flaws, and the problem of impunity that all too often …
An article from the NYT Privacy Project on the The Racist History of Facial Recognition. Starting with early scientific facial analysis in the 19th century trying to locate through “pictorial …
To mitigate the race bias in these datasets, we construct a novel face image dataset, containing 108,501 images, with an emphasis of balanced race composition in the dataset. We define 7 race groups: …
TPG
2019-05
video documentation of a live desktop performance given at Lucerne University of Applied Arts and Science, attempting to present some of the evolutions and transformations…
Layers of Abstraction: A Pixel at the Heart of Identity Shinji Toya and Murad Khan, 2019 This project centres around a critical examination of the limits of categorisation in machine learning …
“AI, Ain’t I A Woman ” - a spoken word piece that highlights the ways in which artificial intelligence can misinterpret the images of iconic black women: Oprah, Serena Williams, …
It’s another troubling example of an emerging trend.