Artificial AI
The promise of easy and flexible work, and small paid tasks done from home without a boss giving orders attracts many workers to digital platforms. This video explores the many ways in which the reality is far from the promised autonomy with strict time and quality management, non-transparent rules, and low pay.
By Ruba
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This video is the result of my experiences and reflections as a data worker on a digital platform. It also stems from the frustration of feeling cheated by the promise of autonomy. Like many others, I started working on the platform because the idea of setting my own hours, tasks, and pace without leaving home was very appealing. Dealing with data for artificial intelligence was exciting, and it was also an opportunity to earn a living during the pandemic.
The theme of false promises permeates the entire video. The promise of autonomous work stands in stark contrast to the dictated and accelerated pace demanded. The promise of being your own boss doesn’t fit with the reality of assignments that are often rejected or the lack of any communication channel with contractors. On a more general level, the fully autonomous and intelligent AI that we are constantly being sold is an illusion, as millions of workers like me are needed to create and maintain these “independent” systems.
My aim with this video is to draw attention to the reality of AI data workers. About how they are invisibilized and underpaid behind the scenes despite being essential for AI to be what it is. It’s important to say that I relied on a small, very careful, and dedicated team and I’d like to thank everyone here who provided and was part of this work.
Recommended citation:
Recommended citation: Ruba (2024). “IA Artificial”. In: M. Miceli, A. Dinika, K. Kauffman, C. Salim Wagner, and L. Sachenbacher (eds.) The Data Workers‘ Inquiry. Creative Commons BY 4.0. https://data-workers.org/ruba
About the Author
Ruba
Ruba started working on a platform during the pandemic, after losing his job. Attracted by the prospect of working flexibly, it soon became clear that the platform made far more demands than he had anticipated. The last straw for him was when he stopped to read the clauses in the contracts he was signing and realized that he was the one taking legal responsibility for the data.