AI’s rise powered by exploited human labor: When tech companies present their AI products as sleek, autonomous machines, they often ignore the reality of the low-paid, menial labor that trains these systems and is managed by them.
Illusion of autonomous AI has historical roots: The current perception of AI as fully automated has parallels to the 18th-century “Mechanical Turk” chess-playing machine, which secretly relied on a human chess master to operate it. Similarly, today’s sophisticated AI software functions only through thousands of hours of low-paid human labor.
AI as an “extraction machine”: The rise of AI is being powered by various types of workers, including data annotators, content moderators, machine learning engineers, data center technicians, writers, and artists, often working in challenging conditions.
AI’s impact on the broader workforce: When AI is implemented in the workplace, it often centralizes knowledge of the labor process, reduces the level of skill required for jobs, and forces workers to work harder and faster for their employers’ benefit.
Principles for a fairer future of AI work: Four key principles should drive the expansion of AI to ensure a more just future for workers:
Analyzing deeper: While implementing these principles may face challenges from global capitalism, it is crucial to defend workers’ rights against the latest generation of venture capital-funded tech titans. As AI continues to expand rapidly, addressing the hidden human labor that powers it and ensuring fair working conditions for all involved should be a top priority for companies, governments, and society as a whole.