Google wants to “help computers ‘see’ our world”, and one of their ways of battling how current AI and machine learning systems perpetuate biases is to introduce a more inclusive scale of skin tone, the ‘Monk Skin Tone Scale’.
Continue reading “Representing skin tone, or Google’s hubris versus the simplicity of Crayola”
In this eloquent and haunting piece by Hito Steyerl, she weaves the ongoing narratives of the eugenicist history of statistics with its integration into machine learning. She elaborates why the attempts to eliminate bias in facial recognition technology through diversifying datasets obscures the root of the problem: machine learning and automation are fundamentally reliant on extracting and exploiting human labour.
Continue reading “Attempts to eliminate bias through diversifying datasets? A distraction from the root of the problem”
In this short piece for Logic(s), Zainab Aliyu shares part of her artistic research. In only a few paragraphs she is able to craft a connection between Yoruba traditional divination and computation through an exploration of the concept of memory.
Continue reading “Computational memory and coloniality: a chain with 8 bits”
If this title feels like a deja-vu it is because you most likely have, in fact, seen this before (perhaps even in our newsletter). It was back in 2015 that the controversy first arose when Google released image recognition software that kept mislabelling Black people as gorillas (read here and here).
Continue reading “Racist Technology in Action: Image recognition is still not capable of differentiating gorillas from Black people”
Starting June 10th, 2023.
Continue reading “Events, exhibits and other things to do”Proudly powered by WordPress | Theme: Baskerville 2 by Anders Noren.