<
https://theconversation.com/an-ai-job-boom-heres-what-the-tedious-temporary-work-in-data-labelling-is-actually-like-289234>
"Amid all the talk about artificial intelligence (AI) both creating and
destroying jobs, a troubling reality flies under the radar.
The tasks machines can’t perform well are often offloaded onto marginalised
global workers who are struggling in precarious labour markets. They do
ostensibly “automated” work under exploitative conditions.
Data work is an essential part of building and refining AI systems. Before AI
models can “learn” anything, human data workers must categorise, label, test
and moderate vast volumes of text, images, audio and video, to make the data
usable for AI training.
This labour is performed by an expanding global digital workforce that prepares
the datasets not only for big tech, but also high-stakes industries such as
banking, insurance, healthcare and government agencies, including defence.
To understand the AI workforce, I have been interviewing workers in China and
Australia who prepare datasets for AI models. The fieldwork is ongoing, but
here’s what they’ve revealed so far."
Cheers,
*** Xanni ***
--
mailto:xanni@xanadu.net Andrew Pam
http://xanadu.com.au/ Chief Scientist, Xanadu
https://glasswings.com.au/ Partner, Glass Wings
https://sericyb.com.au/ Manager, Serious Cybernetics
