COMPUTER VISION AND ALGORITHMIC RACISM: WHITENESS AND OPACITY IN MACHINE LEARNING
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Abstract
Artificial intelligence services are increasingly accessible to businesses and governments of all kinds, being applied to surveillance systems, social media platforms and other types of artificial agents. One of its emerging applications in popularity is computer vision, which allows the automatic recognition of objects, entities, concepts or features extracted from images, including people. The article presents mapping of public cases of racist manifestations of computer vision applications in the last years, read under the lens of Critical Racial Theory and Whiteness Studies. Analyzing practices of visibility and invisibility of black people in the databases and processing of computer vision resources, the article discusses how categories and typologies are manifestations of how informational records configure and reproduce power, with real impact on the possibilities of fair representation and expression between different segments of society.
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