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.Continue reading “Big Tech is propped up by a globally exploited workforce”
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.
The Plug and Fast Company looked at what happened to the 3.8 billion dollars that US-based tech companies committed to diversity, equity, and inclusion as their response to the Black Lives Matter protests.Continue reading “Tech companies poured 3.8 billion USD into racial justice, but to what avail?”
The AI researcher on how natural resources and human labour drive machine learning and the regressive stereotypes that are baked into its algorithms.
By Kate Crawford for The Guardian on June 6, 2021
From Siri, to Alexa, to Google Now, voice-based virtual assistants have increasingly become ubiquitous in our daily lives. So, it is unsurprising that yet another AI technology – speech recognition systems – has been reported to be biased against black people.Continue reading “Racist Technology in Action: Speech recognition systems by major tech companies are biased”