Category: Microsoft

Tech companies’ complicity in the ongoing genocide in Gaza and Palestine

As I write this piece, an Israeli airstrike has hit makeshift tents near Al-Aqsa Martyrs Hospital in Deir al Balah, burning tents and people alive. The Israeli military bombed an aid distribution point in Jabalia, wounding 50 casualties who were waiting for flour. The entire north of Gaza has been besieged by the Israeli Occupying Forces for the past 10 days, trapping 400,000 Palestinians without food, drink, and medical supplies. Every day since last October, Israel, with the help of its western allies, intensifies its assault on Palestine, each time pushing the boundaries of what is comprehensible. There are no moral or legal boundaries Israel, and its allies, will not cross. The systematic ethnic cleansing of Palestine, which has been the basis of the settler-colonial Zionist project since its inception, has accelerated since 7th October 2023. From Palestine to Lebanon, Syria and Yemen, Israel and its allies continue their violence with impunity. Meanwhile, mainstream western news media are either silent in their reporting or complicit in abetting the ongoing destruction of the Palestinian people and the resistance.

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Racist Technology in Action: AI detection of emotion rates Black basketball players as ‘angrier’ than their White counterparts

A young black man looks into the camera. He is wearing a dressing gown and has a towel around his neck. He applies a cotton pad to his face and wears a ring on his right hand. a list of words and numbers describe the man’s expression. Happiness 4.185, neutral 0.901, surprise 89.864, sadness 0.01, disgust 0.01, anger 5.021 and fear 0.01.

In 2018, Lauren Rhue showed that two leading emotion detection software products had a racial bias against Black Men: Face++ thought they were more angry, and Microsoft AI thought they were more contemptuous.

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AI is bevooroordeeld. Wiens schuld is dat?

Ik ga in gesprek met Cynthia Liem. Zij is onderzoeker op het gebied van betrouwbare en verantwoorde kunstmatige intelligentie aan de TU Delft. Cynthia is bekend van haar analyse van de fraudedetectie-algoritmen die de Belastingdienst gebruikte in het toeslagenschandaal.

By Cynthia Liem and Ilyaz Nasrullah for BNR Nieuwsradio on October 20, 2023

Attempts to eliminate bias through diversifying datasets? A distraction from the root of the problem

Nine different images of Hito Steyerls as found via haveibeentrained.com

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.

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Racist Technology in Action: Image recognition is still not capable of differentiating gorillas from Black people

our rows of ten photos showing different animals (many apes) and people at a zoo

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).

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Mean Images

An artist considers a new form of machinic representation: the statistical rendering of large datasets, indexed to the probable rather than the real of photography; to the uncanny composite rather than the abstraction of the graph.

By Hito Steyerl for New Left Review on April 28, 2023

Big Tech is propped up by a globally exploited workforce

Behind the promise of automation, advances of machine learning and AI, often paraded by tech companies like Amazon, Google, Facebook and Tesla, lies a deeply exploitative industry of cheap, human labour. In an excerpt published on Rest of the World from his forthcoming book, “Work Without the Worker: Labour in the Age of Platform Capitalism,” Phil Jones illustrates how the hidden labour of automation is outsourced to marginalised, racialised and disenfranchised populations within the Global North, as well as in the Global South.

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Race and Technology: A Research Lecture Series

Race and technology are closely intertwined, continuously influencing and reshaping one another. While algorithmic bias has received increased attention in recent years, it is only one of the many ways that technology and race intersect in computer science, public health, digital media, gaming, surveillance, and other domains. To build inclusive technologies that empower us all, we must understand how technologies and race construct one another and with what consequences.

From Microsoft

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