Activity

Posted:

New research from AWU/CWU/Techquity on AI data workers in North America. “[L]ow paid people who are not even treated as humans [are] out there making the 1 billion dollar, trillion dollar AI systems that are supposed to lead our entire society and civilization into the future,” says one.

We identify four broad themes that should concern policymakers:

Workers struggle to make ends meet. 86% of surveyed workers worry about meeting their financial responsibilities, and 25% of respondents rely on public assistance, primarily food assistance and Medicaid. Nearly two-thirds of respondents (66%) report spending at least three hours weekly sitting at their computers waiting for tasks to be available, and 26% report spending more than eight hours waiting for tasks. Only 30% of respondents reported that they are paid for the time when no tasks are available. Workers reported a median hourly wage of $15 and a median workweek of 29 hours of paid time, which equates to annual earnings of $22,620. 
 
Workers perform critical, skilled work but are increasingly hamstrung by lack of control over the work process, which results in lower work output and, in turn, higher-risk AI systems. More than half of the workers who are assigned an average estimated time (AET) to complete a task felt that AETs are often not long enough to complete the task accurately. 87% of respondents report they are regularly assigned tasks for which they are not adequately trained. 
 
With limited or no access to mental health benefits, workers are unable to safeguard themselves even as they act as a first line of defense, protecting millions of people from harmful content and imperfect AI systems. Only 23% of surveyed workers are covered by health insurance from their employer. 
 
Deeply involved in every aspect of building AI systems, workers recognize the wide range of risks that these systems pose to themselves and to society at large. Fifty-two percent of surveyed workers believe they are training AI to replace other workers’ jobs, and 36% believe they are training AI to replace their own jobs. 74% were concerned about AI’s contribution to the spread of disinformation, 54% concerned about surveillance, and 47% concerned about the use of AI to suppress free speech, among other issues.
We identify four broad themes that should concern policymakers: Workers struggle to make ends meet. Workers perform critical, skilled work but are increasingly hamstrung by lack of control over the work process, which results in lower work output and, in turn, higher-risk AI systems. With limited or no access to mental health benefits, workers are unable to safeguard themselves even as they act as a first line of defense, protecting millions of people from harmful content and imperfect AI systems. Deeply involved in every aspect of building AI systems, workers recognize the wide range of risks that these systems pose to themselves and to society at large.
Finished reading:
Cover image of Discount Dan
Discount Dan's Backroom Bargains series, book 1.
Published . 456 pages.
fantasy, humor, litRPG
Started ; completed September 30, 2025.
Posted:

Someone should probably inform the White House's "AI & Crypto Czar" that no one is forcing AI companies to train their models on Wikipedia

Tweet by David Sacks: "Wikipedia is hopelessly biased. An army of left-wing activists maintain the bios and fight reasonable corrections. Magnifying the problem, Wikipedia often appears first in Google search results, and now it’s a trusted source for AI model training. This is a huge problem."

You would think the obvious solution to "the volunteer-powered project we all train our AI models on for free isn't adequately twisting reality to our political views" would be "... and so we stopped training on it" and not "... and so we will force the volunteers to bend to our will"

Finished reading:
Cover image of Demon World Boba Shop Vol. 4
Demon World Boba Shop series, book 4.
Published . 386 pages.
cozy, fantasy, litRPG
Started ; completed September 26, 2025.