Racist Technology in Action: How hiring tools can be sexist and racist

One of the classic examples of how AI systems can reinforce social injustice is Amazon’s A.I. hiring tool. In 2014, Amazon built an ´A.I. powered´ tool to assess resumes and recommend the top candidates that would go on to be interviewed. However, the tool turned out to be very biased, systematically preferring men over women.

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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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Racist Technology in Action: Amazon’s racist facial ‘Rekognition’

An already infamous example of racist technology is Amazon’s facial recognition system ‘Rekognition’ that had an enormous racial and gender bias. Researcher and founder of the Algorithmic Justice League Joy Buolawini (the ‘poet of code‘), together with Deborah Raji, meticulously reconstructed how accurate Rekognition was in identifying different types of faces. Buolawini and Raji’s study has been extremely consequencial in laying bare the racism and sexism in these facial recognition systems and was featured in the popular Coded Bias documentary.

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The Fort Rodman Experiment

In 1965, IBM launched the most ambitious attempt ever to diversify a tech company. The industry still needs to learn the lessons of that failure.

By Charlton McIlwain for Logic on December 20, 2021

Decode the Default

Technology has never been colorblind. It’s time to abolish notions of “universal” users of software.

From The Internet Health Report 2020 on January 1, 2021

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